Pracovné zaradenie:
Zástupca vedúceho oddelenia
Pedagogický pracovník
Oddelenie:
Oddelenie informatizácie a riadenia procesov (OIaRP)
Miestnosť:
NB 695
eMail:
Webová stránka:
https://www.uiam.sk/~paulen
Telefón:
+421 259 325 730
Skype:
radopaulen
ORCID iD:
0000-0002-1599-2634
WoS ResearcherID:
AAF-1290-2020
Google Scholar:
JBx2SewAAAAJ
Vedecká činnosť:
Skupina doc. Paulena sa zameriava na výskum v oblasti odhadu a optimálneho riadenia nelineárnych dynamických systémov s dôrazom na aplikácie v chemickom a biochemickom priemysle.
Hlavnými výskumnými témami sú:
  • garantovaná a štatistická identifikácia systémov a odhad parametrov a stavov
  • dynamická optimalizácia, globálna optimalizácia, prediktívne riadenie
Dostupnosť:

Citácie

  • Celkový počet citácií       303
S. Thangavel – R. Paulen – S. Engell: Adaptive multi-stage NMPC using sigma point principles. V European Control Conference 2020, str. 196–201, 2020.
  • Počet citácií       1
  • Bonzanini, A.D. – Paulson, J.A. – Makrygiorgos, G. – Mesbah, A.: Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. Computers and Chemical Engineering, str. 107174, 2021.
K. Kusumo – L. Gomoescu – R. Paulen – S. García Muñoz – C. C. Pantelides – N. Shah – B. Chachuat: Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy. Industrial & Engineering Chemistry Research, č. 6, zv. 59, str. 2396–2408, 2020.
  • Počet citácií       1
  • Vandercammen, A. – Dessoy, S. – Sanders, M. – Pysik, A. – Geldhof, G. – Schenkendorf, R. – von Stosch, M. – Mariti, M. – Varsakelis, C.: Working within the design space: Do our static process characterization methods suffice?. Pharmaceutics, č. 6, zv. 12, str. 1-15, 2020.
A. R. Gottu Mukkula – R. Paulen: Optimal experiment design in nonlinear parameter estimation with exact confidence regions. Journal of Process Control, zv. 83, str. 187–195, 2019.
  • Počet citácií       1
  • Baltodano, Eleaneth – Hanley, Georgia – Vargas, Rolando – Ramírez, Nils – Castillo, Luis: Design of Experiments Assessment for the Determination of Moisture Content in Five Herbal Raw Materials Contained in Tea Products. Borneo Journal of Pharmacy, č. 1, zv. 3, 2020.
  • Počet citácií       2
  • Zhang,L. – Li,P. – Chen,L. – Xia,S. – Kong,R. – Ge,Y. – Feng,H.: Entropy generation rate minimization for steam methane reforming reactor heated by molten salt. Energy Reports, zv. 6, str. 685-697, 2020.
  • You, F. – Zhang, S. – Jia, R.: Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS. Computers and Chemical Engineering, č. 106943, zv. 140, 2020.
P. Valiauga – R. Paulen: Moving-horizon Guaranteed Parameter Estimation. V 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, str. 112–117, 2019.
  • Počet citácií       1
  • Bernardi, E. – Morato, M.M. – Mendes, P.R.C. – Normey-Rico, J.E. – Adam, E.J.: Fault-tolerant energy management for an industrial microgrid: A compact optimization method. International Journal of Electrical Power and Energy Systems, zv. 124, str. 106342, 2021.
M. Villanueva – X. Feng – R. Paulen – B. Chachuat – B. Houska: Convex Enclosures for Constrained Reachability Tubes. V 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, str. 118–123, 2019.
  • Počet citácií       1
  • Scott,J. K. – Shen,K.: Exploiting nonlinear invariants and path constraints to achieve tighter reachable set enclosures using differential inequalities. Mathematics of Control, Signals, and Systems, č. 1, zv. 32, str. 101-127, 2020.
W. Daosud – P. Kittisupakorn – M. Fikar – S. Lucia – R. Paulen: Efficient robust nonlinear model predictive control via approximate multi-stage programming: A neural networks based approach. Editor(i): Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan, V 29th European Symposium on Computer Aided Process Engineering, Elsevier, zv. 29, str. 571–576, 2019.
  • Počet citácií       1
  • Mitsos, A. – Kevrekidis, I.G. – Mhamdi, A. – Caspari, A. – Hamacher, N.C. – Vaupel, Y.: Accelerating nonlinear model predictive control through machine learning. Journal of Process Control, zv. 92, str. 261-270, 2020.
T. B. L. Tran – M. Törngren – H. D. Nguyen – R. Paulen – N. W. Gleason – T. H. Duong: Trends in preparing cyber-physical systems engineers. Cyber-Physical Systems, č. 2, zv. 5, str. 65–91, 2019.
  • Počet citácií       3
  • Andreev, A. – Nefedyev, Y. – Demina, N.: The Study of Dynamic Parameters of Corporate Graphic Stations Using Methods of Adaptive Regression Multi-Parameter Modeling. V 2020 IEEE East-West Design and Test Symposium, EWDTS 2020 - Proceedings, str. 9225025, 2020.
  • Hernandez-de-Menendez, M. – Escobar Díaz, C.A. – Morales-Menendez, R.: Engineering education for smart 4.0 technology: a review. International Journal on Interactive Design and Manufacturing, č. 3, zv. 14, str. 789-803, 2020.
  • Francisco, R. – de Freitas Rocha Loures, E. – Santos, E.A.P. – Deschamps, F.: Working in the 4.0 Era: An Ontology for Competence Management in the Fourth Industrial Revolution. V Springer Proceedings in Mathematics and Statistics, str. 491-502, 2020.
S. Thangavel – S. Lucia – R. Paulen – S. Engell: Dual robust nonlinear model predictive control: A multi-stage approach. Journal of Process Control, zv. 72, str. 39–51, 2018.
  • Počet citácií       10
  • Skogestad, S. – Krishnamoorthy, D. – Jaschke, J.: Multistage model predictive control with online scenario tree update using recursive Bayesian weighting. V 2019 18th European Control Conference, ECC 2019, str. 1443-1448, 2019.
  • Mitrovic, A. – Leang, K.K. – Clayton, G.M.: Analysis and experimental comparison of range-based control for dual-stage nanopositioners. Mechatronics, č. 102371, zv. 69, 2020.
  • Hewing, Lukas – Wabersich, Kim P. – Menner, Marcel – Zeilinger, Melanie N.: Learning-Based Model Predictive Control: Toward Safe Learning in Control. V Annual Review of Control, Robotics, and Autonomous Systems, Vol 3, 2020, str. 269-296, 2020.
  • Walter Kähm: Thermal stability criteria embedded in advanced control systems for batch process intensification, University of Cambridge, University of Cambridge, 2019.
  • Soloperto, Raffaele – Koehler, Johannes – Allgoewer, Frank: Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance. IEEE Control Systems Letters, č. 3, zv. 4, str. 713-718, 2020.
  • Kummer, A. – Nagy, L. – Varga, T.: NMPC-based control scheme for a semi-batch reactor under parameter uncertainty. Computers and Chemical Engineering, zv. 141, str. 106998, 2020.
  • Koehler, Johannes – Koetting, Peter – Soloperto, Raffaele – Allgoewer, Frank – Mueller, Matthias A.: A robust adaptive model predictive control framework for nonlinear uncertain systems. International Journal of Robust and Nonlinear Control, 2020.
  • Kummer, A. – Nagy, L. – Varga, T.: NMPC based Temperature Control in Fed-batch Reactor to Avoid Thermal Runaway. Computer Aided Chemical Engineering, zv. 48, str. 1087-1092, 2020.
  • Wang, M. – Liu, X. – Zheng, S. – Hu, J. – Deng, J. – Yan, F.: Optimizing the fault diagnosis and fault-tolerant control of selective catalytic reduction hydrothermal aging using the Unscented Kalman Filter observer. Fuel, zv. 288, str. 119827, 2021.
  • Yoo, H. – Kim, B. – Kim, J.W. – Lee, J.H.: Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation. Computers and Chemical Engineering, zv. 144, str. 107133, 2021.
N. Peric – R. Paulen – M. Villanueva – B. Chachuat: Set-membership nonlinear regression approach to parameter estimation. Journal of Process Control, zv. 70, str. 80–95, 2018.
  • Počet citácií       3
  • Jung, Falco – Caspari, Adrian – Mhamdi, Adel – Mitsos, Alexander: Set-Membership Parameter Estimation: Improved Understanding of Microgel Polymerization. Ifac Papersonline, č. 1, zv. 52, str. 580-585, 2019.
  • Walz, Olga – Djelassi, Hatim – Mitsos, Alexander: Optimal experimental design for optimal process design: A trilevel optimization formulation. Aiche Journal, č. 1, zv. 66, str. e16788, 2020.
  • Krichen, E. – Rapaport, A. – Fouilland, E.: About frame estimation of growth functions and robust prediction in bioprocess modeling. Journal of Process Control, zv. 85, str. 121-135, 2020.
S. Subramanian – S. Lucia – S. A. Baradaran Birjandi – R. Paulen – S. Engell: A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems. V Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, str. 577–582, 2018.
  • Počet citácií       1
  • Hanema,J. – Lazar,M. – Tóth,R.: Heterogeneously parameterized tube model predictive control for LPV systems. Automatica, zv. 111, 2020.
U. Sharma – S. Thangavel – A. R. Gottu Mukkula – R. Paulen: Effective Recursive Parallelotopic Bounding for Robust Output-Feedback Control. V 18th IFAC Symposium on System Identification, IFAC, str. 1032–1035, 2018.
  • Počet citácií       2
  • L. {Jirsa} – A. {Quinn} – L. K. {Pavelková}: Bayesian Filtering for States Uniformly Distributed on a Parallelotopic Support. V 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), str. 1-6, 2019.
  • E.K. Kostousova: On polyhedral estimation of reachable sets in the “extended” space for discrete-time systems with uncertain matrices and integral constraints. Trudy Instituta Matematiki i Mekhaniki URO RAN, č. 1, zv. 26, str. 141–155, 2020.
A. R. Gottu Mukkula – R. Paulen: Robust model-based design of experiments for guaranteed parameter estimation. Editor(i): Antonio Espuña, Moisès Graells and Luis Puigjaner, V 27th European Symposium on Computer-Aided Process Engineering, Elsevier, str. 1639–1644, 2017.
  • Počet citácií       1
  • Walz, Olga – Djelassi, Hatim – Mitsos, Alexander: Optimal experimental design for optimal process design: A trilevel optimization formulation. Aiche Journal, č. 1, zv. 66, str. e16788, 2020.
S. Wenzel – R. Paulen – B. Beisheim – S. Krämer – S. Engell: Market-Based Coordination of Shared Resources in Cyber-physical Production Sites. Chemie Ingenieur Technik, č. 5, zv. 89, str. 636–644, 2017.
  • Počet citácií       1
  • Galembeck, Fernando: Synergy in food, energy and advanced materials production from biomass. Pure and Applied Chemistry, č. 1, zv. 90, str. 109-119, 2018.
A. R. Gottu Mukkula – R. Paulen: Model-based design of optimal experiments for nonlinear systems in the context of guaranteed parameter estimation. Computers & Chemical Engineering, zv. 99, str. 198–213, 2017.
  • Počet citácií       19
  • Budman,H. M. – Hille,R.: Simultaneous identification and optimization of biochemical processes under model-plant mismatch using output uncertainty bounds. Computers and Chemical Engineering, zv. 113, str. 125-138, 2018.
  • Walz, Olga – Djelassi, Hatim – Caspari, Adrian – Mitsos, Alexander: Bounded-error optimal experimental design via global solution of constrained min-max program. Computers & Chemical Engineering, zv. 111, str. 92-101, 2018.
  • Rubin Hille: Run-to-Run Optimization of Biochemical Batch Processes in the Presence of Model-Plant Mismatch, University of Waterloo, University of Waterloo, 2018.
  • Quaglio,M. – Pankajakshan,A. – Galvanin,F.: Experimentally Driven Guaranteed Parameter Estimation: a Way to Speed up Model-Based Design of Experiments Techniques, zv. 43, 2018.
  • Jung,F. – Mhamdi,A. – Mitsos,A.: Constraints for Set-Membership Parameter Estimation, zv. 44, 2018.
  • Remli, Muhammad Akmal – Mohamad, Mohd Saberi – Deris, Safaai – Samah, Azurah A. – Omatu, Sigeru – Manuel Corchado, Juan: Cooperative enhanced scatter search with opposition-based learning schemes for parameter estimation in high dimensional kinetic models of biological systems. Expert Systems with Applications, zv. 116, str. 131-146, 2019.
  • Horn,G. – Gillis,J. – Andersson,J. A. E. – Diehl,M. – Rawlings,J. B.: CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, č. 1, zv. 11, 2019.
  • Jung, Falco – Caspari, Adrian – Mhamdi, Adel – Mitsos, Alexander: Set-Membership Parameter Estimation: Improved Understanding of Microgel Polymerization. Ifac Papersonline, č. 1, zv. 52, str. 580-585, 2019.
  • Joy, Preet – Djelassi, Hatim – Mhamdi, Adel – Mitsos, Alexander: Optimization-based global structural identifiability. Computers & Chemical Engineering, zv. 128, str. 417-420, 2019.
  • Jung, Falco – Janssen, Franca A. L. – Ksiazkiewicz, Agnieszka – Caspari, Adrian – Mhamdi, Adel – Pich, Andrij – Mitsos, Alexander: Identifiability Analysis and Parameter Estimation of Microgel Synthesis: A Set-Membership Approach. Industrial & Engineering Chemistry Research, č. 30, SI, zv. 58, str. 13675-13685, 2019.
  • Jauberthie,C. – Denis-Vidal,L. – Kieffer,M.: Optimal experiment design for bounded-error estimation of nonlinear models. V Proceedings of the IEEE Conference on Decision and Control, str. 4147-4154, 2019.
  • Walz, Olga – Djelassi, Hatim – Mitsos, Alexander: Optimal experimental design for optimal process design: A trilevel optimization formulation. Aiche Journal, č. 1, zv. 66, str. e16788, 2020.
  • Bernard, A. – Besombes, G. – Dall’Olio, L. – Le Duigou, J. – Belkadi, F.: Knowledge-based platform for traceability and simulation monitoring applied to design of experiments process: an open source architecture. Journal of Engineering Design, č. 8-9, zv. 30, str. 311-335, 2019.
  • Wang, Ke – Yue, Hong – Yu, Hui: Optimal Input Design for Reduction of Parameter Correlations. V 2018 24th IEEE International Conference on Automation and Computing (icac' 18), str. 406-411, 2018.
  • Krichen, E. – Rapaport, A. – Fouilland, E.: About frame estimation of growth functions and robust prediction in bioprocess modeling. Journal of Process Control, zv. 85, str. 121-135, 2020.
  • Novara, C. – Karimshoushtari, M.: Design of experiments for nonlinear system identification: A set membership approach. Automatica, č. 109036, zv. 119, 2020.
  • Tobias Paul Ring: Effiziente Unsicherheitsquantifizierung in der Akustik mittels eines Multi-Modell-Verfahrens, Shaker (Verlag), Düren, zv. 2020, 2020.
  • Kunna, M.A. – Kadir, T.A.A. – Remli, M.A. – Ali, N.M. – Moorthy, K. – Muhammad, N.: An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli. Processes, č. 8, zv. 8, str. 963, 2020.
  • Zhao, X. – Mu, X.: Evaluation method for storage life of computing devices under zero-failure data [无失效数据下计算装置贮存寿命评估方法]. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, č. 1, zv. 43, str. 272-278, 2021.
S. Wenzel – R. Paulen – B. Beisheim – S. Krämer – S. Engell: Adaptive Pricing for Optimal Resource Allocation in Industrial Production Sites. V Preprints of the 20th IFAC World Congress, Toulouse, France, zv. 20, str. 12957–12962, 2017.
  • Počet citácií       2
  • Klychova, Guzaliya – Zakirova, Alsou – Safiullin, Ilnur – Zakirov, Zufar – Khusainov, Shaukat – Zakharova, Galina: Rational placement of grain production - the basis for ensuring food security. E3S Web Conf., zv. 175, str. 08013, 2020.
  • Holters,L. – Bahl,B. – Hennen,M. – Bardow,A.: Playing stackelberg games for minimal cost for production and utilities. V ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2018.
M. Jelemenský – M. FikarR. Paulen: Time-Optimal Operation of Membrane Processes in the Presence of Fouling with Set-Membership Parameter Estimation. V Preprints of the 20th IFAC World Congress, Toulouse, France, zv. 20, str. 4776–4781, 2017.
  • Počet citácií       1
  • Ji,Z. – Wang,Z. – Liu,Z. – Xu,G.: Weight Value Ellipsoid Based Estimation Algorithm with Finite Data Window. V Chinese Control Conference, CCC, str. 1632-1636, 2018.
A. R. Gottu Mukkula – R. Paulen: Model-Based Optimal Experiment Design for Nonlinear Parameter Estimation Using Exact Confidence Regions. V Preprints of the 20th IFAC World Congress, Toulouse, France, zv. 20, str. 14324–14329, 2017.
  • Počet citácií       1
  • Wang, K. – Yue, H. – Yu, H.: Optimal input design for reduction of parameter correlations. V ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing, 2018.
A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modeling and optimal operation of batch closed-loop diafiltration processes. Chemical Engineering Research and Design, zv. 122, str. 198–210, 2017.
  • Počet citácií       4
  • Wang,M. – Admassu,H. – Gasmalla,M. A. A. – Hua,X. – Yang,R.: Preparation of high-purity lactulose through efficient recycling of catalyst sodium aluminate and nanofiltration: a pilot-scale purification. Journal of the science of food and agriculture, č. 14, zv. 98, str. 5352-5360, 2018.
  • Al-Obaidi,M. A. – Alsarayreh,A. A. – Mujtaba,I. M. – Patel,R. – Al-Hroub,A. M.: Performance evaluation of reverse osmosis brackish water desalination plant with different recycled ratios of retentate. Computers and Chemical Engineering, zv. 135, str. 106729, 2020.
  • Al-Hroub, A.M. – Al-Obaidi, M.A. – Alsarayreh, A.A. – Patel, R. – Mujtaba, I.M.: Performance Evaluation of Reverse Osmosis Brackish Water Desalination Plant with Different Recycled Ratios of Retentate. Computer Aided Chemical Engineering, zv. 46, str. 181-186, 2019.
  • Andrade, Thalles Allan – Errico, Massimiliano – Christensen, Knud Villy: Implementation of Biodiesel Production Process Using Enzyme-Catalyzed Routes. V Process Systems Engineering for Biofuels Development, Editor(i): A. Bonilla‐Petriciolet and G.P. Rangaiah, Kapitola: 8. John Wiley & Sons, Ltd, str. 191-220, 2020.
S. Thangavel – S. Lucia – R. Paulen – S. Engell: Robust Nonlinear Model Predictive Control with Reduction of Uncertainty via Dual Control. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 48–53, 2017.
  • Počet citácií       2
  • Nogueira,I. B. R. – Fontes,R. M. – Ribeiro,A. M. – Pontes,K. V. – Embiruçu,M. – Martins,M. A. F.: A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process. Computers and Chemical Engineering, zv. 133, str. 106664, 2020.
  • Barcelos, L. – Oliveira, R. – Possas, R. – Ott, L. – Ramos, F.: DISCO: Double Likelihood-free Inference Stochastic Control. V Proceedings - IEEE International Conference on Robotics and Automation, str. 10969-10975, 2020.
F. Shamim – R. Hernández – R. Paulen – S. Engell: A hierarchical coordination approach to the optimal operation of a sugar crystallization process. Editor(i): Zdravko Kravanja, Miloš Bogataj, V 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, zv. 26, str. 703–708, 2016.
  • Počet citácií       1
  • de Castro, Bruno J. C. – Marciniuk Junior, Meloci – Giulietti, Marco – Bernardo, Andre: SUCROSE CRYSTALLIZATION: MODELING AND EVALUATION OF PRODUCTION RESPONSES TO TYPICAL PROCESS FLUCTUATIONS. Brazilian Journal of Chemical Engineering, č. 3, zv. 36, str. 1237-1253, 2019.
S. Wenzel – R. Paulen – S. Krämer – B. Beisheim – S. Engell: Price Adjustment in Price‐based Coordination Using Quadratic Approximation. Editor(i): Zdravko Kravanja, Miloš Bogataj, V 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, zv. 26, str. 193–198, 2016.
  • Počet citácií       2
  • Predrag Milosavljevic: Real-Time Optimization of Interconnected Systems via Modifier Adaptation, with Application to Gas-Compressor Stations, ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE, 2018.
  • Schneider, Rene – Milosavljevic, Predrag – Bonvin, Dominique: Distributed modifier-adaptation schemes for the real-time optimisation of uncertain interconnected systems. International Journal of Control, č. 5, zv. 92, str. 1123-1136, 2019.
S. Wenzel – R. Paulen – S. Krämer – B. Beisheim – S. Engell: Shared Resource Allocation in an Integrated Petrochemical Site by Price‐based Coordination Using Quadratic Approximation. V European Control Conference 2016, Aalborg, Denmark, str. 1045–1050, 2016.
  • Počet citácií       3
  • Estellés-Miguel,S. – Maheut,J. – Rius-Sorolla,G. – Garcia-Sabater,J. P.: Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review. Central European Journal of Operations Research, 2018.
  • Carlo Valli: Distributed Optimization of a Gas-LiftedWells Network using Transient Measurements, Politecnico di Milano, 2019.
  • Zhang,Q. – Allman,A.: Distributed cooperative industrial demand response. Journal of Process Control, zv. 86, str. 81-93, 2020.
A. R. Gottu Mukkula – R. Paulen: Optimal Design of Dynamic Experiments for Guaranteed Parameter Estimation. V American Control Conference, Boston, Massachusetts, USA, str. 1826–1831, 2016.
  • Počet citácií       1
  • Walz, Olga – Djelassi, Hatim – Caspari, Adrian – Mitsos, Alexander: Bounded-error optimal experimental design via global solution of constrained min-max program. Computers & Chemical Engineering, zv. 111, str. 92-101, 2018.
A. R. Gottu Mukkula – R. Paulen: Optimal dynamic experiment design for guaranteed parameter estimation. Editor(i): Zdravko Kravanja, Miloš Bogataj, V 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, zv. 26, str. 757–762, 2016.
  • Počet citácií       1
  • Walz, Olga – Djelassi, Hatim – Caspari, Adrian – Mitsos, Alexander: Bounded-error optimal experimental design via global solution of constrained min-max program. Computers & Chemical Engineering, zv. 111, str. 92-101, 2018.
S. Wenzel – R. Paulen – O. Stoilova – S. Krämer – B. Beisheim – S. Engell: Optimal resource allocation in industrial complexes by distributed optimization and dynamic pricing. at - Automatisierungstechnik, č. 6, zv. 64, str. 428–442, 2016.
  • Počet citácií       4
  • Garcia-Sabater,J. P. – Estellés-Miguel,S. – Maheut,J. – Rius-Sorolla,G.: Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review. Central European Journal of Operations Research, 2018.
  • Marchetti, Alejandro G. – Francois, Gregory – Faulwasser, Timm – Bonvin, Dominique: Modifier Adaptation for Real-Time Optimization-Methods and Applications. Processes, č. 4, zv. 4, 2016.
  • Rius-Sorolla, Gregorio – Maheut, Julien – Estelles-Miguel, Sofia – Pedro Garcia-Sabater, Jose: Protocol: Systematic Literature Review on coordination mechanisms for the mathematical programming models in production planning with decentralized decision making. Wpom-working Papers on Operations Management, č. 2, zv. 8, str. 22-43, 2017.
  • Krishnamoorthy, D.: A distributed feedback-based online process optimization framework for optimal resource sharing. Journal of Process Control, zv. 97, str. 72-83, 2021.
R. Paulen – M. Villanueva – B. Chachuat: Guaranteed parameter estimation of non-linear dynamic systems using high-order bounding techniques with domain and CPU-time reduction strategies. IMA Journal of Mathematical Control and Information, č. 3, zv. 33, str. 563–587, 2016.
  • Počet citácií       9
  • Van Impe, J. – Telen, D. – Nimmegeers, P.: A sampling-based stochastic optimal experiment design formulation with application to the Williams-Otto reactor. IFAC-PapersOnLine, č. 1, zv. 50, str. 8716-8721, 2017.
  • Walz, Olga – Djelassi, Hatim – Caspari, Adrian – Mitsos, Alexander: Bounded-error optimal experimental design via global solution of constrained min-max program. Computers & Chemical Engineering, zv. 111, str. 92-101, 2018.
  • Jung,F. – Mhamdi,A. – Mitsos,A.: Constraints for Set-Membership Parameter Estimation, zv. 44, 2018.
  • Chai,W. – Ji,H.: Set Membership Parameter Estimation for Nonlinear Systems Using Isomap. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, č. 2, zv. 47, str. 203-208, 2018.
  • Jung, Falco – Caspari, Adrian – Mhamdi, Adel – Mitsos, Alexander: Set-Membership Parameter Estimation: Improved Understanding of Microgel Polymerization. Ifac Papersonline, č. 1, zv. 52, str. 580-585, 2019.
  • Jung, Falco – Janssen, Franca A. L. – Ksiazkiewicz, Agnieszka – Caspari, Adrian – Mhamdi, Adel – Pich, Andrij – Mitsos, Alexander: Identifiability Analysis and Parameter Estimation of Microgel Synthesis: A Set-Membership Approach. Industrial & Engineering Chemistry Research, č. 30, SI, zv. 58, str. 13675-13685, 2019.
  • Walz, Olga – Djelassi, Hatim – Mitsos, Alexander: Optimal experimental design for optimal process design: A trilevel optimization formulation. Aiche Journal, č. 1, zv. 66, str. e16788, 2020.
  • Merhy, D. – Stoica Maniu, C. – Alamo, T. – Camacho, E.F. – Ben Chabane, S. – Chevet, T. – Makarov, M. – Hinostroza, I.: Guaranteed set-membership state estimation of an octorotor\\\'s position for radar applications. International Journal of Control, č. 11, zv. 93, str. 2760-2770, 2020.
  • Merhy, D. – Stoica Maniu, C. – Alamo, T. – Camacho, E.F. – Ben Chabane, S. – Chevet, T. – Makarov, M. – Hinostroza, I.: Guaranteed set-membership state estimation of an octorotor's position for radar applications. International Journal of Control, č. 11, zv. 93, str. 2760-2770, 2020.
M. Jelemenský – D. Pakšiová – R. Paulen – M. A. Latifi – M. Fikar: Combined Estimation and Optimal Control of Batch Membrane Processes. Processes, č. 4, zv. 4, 2016.
  • Počet citácií       1
  • Bonvin, Dominique: Special Issue. Processes, č. 2, zv. 5, 2017.
M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Time-optimal control of diafiltration processes in the presence of membrane fouling. Computers & Chemical Engineering, zv. 91, str. 343–351, 2016.
  • Počet citácií       9
  • Oravec, Juraj – Bakosova, Monika – Trafczynski, Marian – Vasickaninova, Anna – Meszaros, Alajos – Markowski, Mariusz: Robust model predictive control and PID control of shell-and-tube heat exchangers. Energy, zv. 159, str. 1-10, 2018.
  • Oravec,J. – Trafczynski,M. – Bakošová,M. – Markowski,M. – Mészáros,A. – Urbaniec,K.: Robust model predictive control of heat exchanger network in the presence of fouling, zv. 61, 2017.
  • Kulesha,O. – Maletskyi,Z. – Ratnaweera,H.: State-of-the-art of membrane flux enhancement in membrane bioreactor. Cogent Engineering, č. 1, zv. 5, str. 1-30, 2018.
  • Robles, Angel – Victoria Ruano, Maria – Charfi, Amine – Lesage, Geoffroy – Heran, Marc – Harmand, Jerome – Seco, Aurora – Steyer, Jean-Philippe – Batstone, Damien J. – Kim, Jeonghwan – Ferrer, Jose: A review on anaerobic membrane bioreactors (AnMBRs) focused on modelling and control aspects. Bioresource Technology, zv. 270, str. 612-626, 2018.
  • Religa, Pawel – Kazmierczak, Bernadetta – Wojtkowska, Malgorzata – Rogos, Elzbieta: The influence of the nanofiltration method on the retentate composition after simulated chromium tannery wastewater concentration. Desalination and Water Treatment, zv. 128, str. 187-192, 2018.
  • Rehman, Waheed Ur – Muhammad, Amir – Khan, Qaisar Ali – Younas, Mohammad – Rezakazemi, Mashallah: Pomegranate juice concentration using osmotic distillation with membrane contactor. Separation and Purification Technology, zv. 224, str. 481-489, 2019.
  • Zhang, Bopeng – Kotsalis, Georgios – Khan, Jahanzeb – Xiong, Zhaoyang – Igou, Thomas – Lan, Guanghui – Chen, Yongsheng: Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting. Journal of Membrane Science, zv. 612, str. 118464, 2020.
  • Gao, Y. – Yang, J. – Song, X. – Shen, D. – Wang, W. – Liu, K. – Jiang, J.: Experimental Study on Membrane Fouling and Cleaning in Hydrolytic Acidification -Membrane - Sequencing Batch Reactors Process. V IOP Conference Series: Earth and Environmental Science, str. 012102, 2020.
  • Kuhn, M. – Briesen, H.: Optimizing the axial resistance profile of submerged hollow fiber membranes. Processes, č. 1, zv. 9, str. 1-13, 2021.
A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Estimation of membrane fouling parameters for concentrating lactose using nanofiltration. Editor(i): Zdravko Kravanja, Miloš Bogataj, V 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, zv. 26, str. 151–156, 2016.
  • Počet citácií       1
  • Jeong,S. – Kim,D. – Lee,J. H.: Modeling and Simulation of Autothermal Reforming Reactor of Diesel over Ni-based Catalyst in Solid Oxide Fuel Cell based Auxiliary Power Unit System, zv. 44, 2018.
M. Jelemenský – M. KlaučoR. Paulen – J. Lauwers – F. Logist – J. Van Impe – M. Fikar: Time-Optimal Control and Parameter Estimation of Diafiltration Processes in the Presence of Membrane Fouling. V 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, zv. 11, str. 242–247, 2016.
  • Počet citácií       1
  • Krewer, U. – Scholl, S. – Rehbein, M. – Xie, X. – Schenkendorf, R.: The impact of global sensitivities and design measures in model-based optimal experimental design. Processes, č. 4, zv. 6, 2018.
  • Počet citácií       11
  • Rincón Moruno, Sergi: Vertical trajectory optimisation using off-line look-up tables, Universitat Politecnica de Catalunya, 2017.
  • Hammad, Ahmed W. A. – Rey, David – Bu-Qammaz, Amani – Grzybowska, Hanna – Akbarnezhad, Ali: Mathematical optimization in enhancing the sustainability of aircraft trajectory: A review. International Journal of Sustainable Transportation, č. 6, zv. 14, str. 413-436, 2020.
  • Abir Boukil: Étude des performances du procédé d'ultrafiltration lors de la concentration d'hydrolysats trypsiques de β-lactoglobuline prétraitée par hautes pressions hydrostatiques. Universite Laval, Québec, Canada, 2018.
  • Sana, Madiha – Mustahsan, Muhammad: Finite Element Approximation of Optimal Control Problem with Weighted Extended B-Splines. Mathematics, č. 5, zv. 7, 2019.
  • Hammad, A.W.A. – Rey, D. – Bu-Qammaz, A. – Grzybowska, H. – Akbarnezhad, A.: Mathematical optimization in enhancing the sustainability of aircraft trajectory: A review. International Journal of Sustainable Transportation, 2019.
  • Al-Obaidi, M. – Kara-Zaitri, C. – Mujtaba, I.: Wastewater Treatment by Reverse Osmosis Process, Boca Raton: CRC Press, 2020.
  • Baena-Moreno, Francisco M – le Saché, Estelle – Pastor-Pérez, Laura – Reina, TR: Biogas as a Renewable Energy Source: Focusing on Principles and Recent Advances of Membrane-Based Technologies for Biogas Upgrading. V Membranes for Environmental Applications, str. 95–120, 2020.
  • A. Mészáros – M. Klaučo – K. Kiš: Neural Network Controllers in Chemical Technologies. V 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), str. 397-402, 2020.
  • Alardhi, Saja Mohsen – Alrubaye, Jamal M – Albayati, Talib M: Removal of Methyl Green Dye from simulated waste water using Hollow Fiber Ultrafiltration Membrane. V IOP Conference Series: Materials Science and Engineering, str. 052020, 2020.
  • Servent, A. – Abreu, F.A.P. – Dhuique-Mayer, C. – Belleville, M.-P. – Dornier, M.: Concentration and purification by crossflow microfiltration with diafiltration of carotenoids from a by-product of cashew apple juice processing. Innovative Food Science and Emerging Technologies, č. 102519, zv. 66, 2020.
  • Kiš, Karol – Klaučo, Martin – Mészáros, Alajos: Neural Network Controllers in Chemical Technologies. V 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), str. 397–402, 2020.
H. Thompson – R. Paulen – M. Reniers – C. Sonntag – S. Engell: Analysis of the State-of-the-Art and Future Challenges in Cyber-physical Systems of Systems. 2015.
  • Počet citácií       6
  • Koegel, Markus – Findeisen, Rolf: Improved Robust Decentralized MPC. V 2018 European Control Conference (ECC), str. 312-318, 2018.
  • Fitzgerald, John – Gamble, Carl – Larsen, Peter Gorm – Pierce, Kenneth – Woodcock, Jim: Cyber-Physical Systems Design: Formal Foundations, Methods and Integrated Tool Chains (Invited Paper). V 2015 IEEE/acm 3rd Fme Workshop on Formal Methods in Software Engineering, str. 40-46, 2015.
  • Lucia, Sergio – Koegel, Markus – Zometa, Pablo – Quevedo, Daniel E. – Findeisen, Rolf: Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annual Reviews in Control, zv. 41, str. 193-207, 2016.
  • Rojas, Rafael A. – Rauch, Erwin: From a literature review to a conceptual framework of enablers for smart manufacturing control. International Journal of Advanced Manufacturing Technology, č. 1-4, zv. 104, str. 517-533, 2019.
  • Rojas, Rafael A. – Rauch, Erwin – Vidoni, Renato – Matt, Dominik T.: Enabling Connectivity of Cyber-Physical Production Systems: A Conceptual Framework. V 27th International Conference on Flexible Automation and Intelligent Manufacturing, Faim2017, str. 822-829, 2017.
  • Challenger, Moharram – Vangheluwe, Hans: Towards Employing ABM and MAS Integrated with MBSE for the Lifecycle of SCPSoS. V Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, str. 1-7, 2020.
S. Engell – R. Paulen – M. Reniers – C. Sonntag – H. Thompson: Core Research and Innovation Areas in Cyber‐Physical Systems of Systems, V Cyber Physical Systems. Design, Modeling, and Evaluation, Editor(i): Christian Berger and Mohammad Reza Mousavi, Springer, zv. 9361, str. 40–56, 2015.
  • Počet citácií       26
  • Colombo,A. W. – Karnouskos,S. – Kaynak,O. – Shi,Y. – Yin,S.: Industrial Cyberphysical Systems: A Backbone of the Fourth Industrial Revolution. IEEE Industrial Electronics Magazine, č. 1, zv. 11, str. 6-16, 2017.
  • Erkki Jantunen – Urko Zurutuza – Michele Albano – Giovanni di Orio – Pedro Maló – Csaba Hegedus: The Way Cyber Physical Systems Will Revolutionise Maintenance. V 30th Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2017), Preston, United Kingdom, 2017.
  • Palkovits-Rauter, Silke – Maksuti, Silia – Bicaku, Ani – Tauber, Markus: Towards Trustworthy End-to-End Communication inIndustry 4.0. IEEE, V IEEE 15th International Conference of Industrial Inforimatics (INDIN) 2017, 2017.
  • Thramboulidis,K. – Bochalis,P. – Bouloumpasis,J.: A framework for MDE of IoT-based manufacturing cyber-physical systems. V ACM International Conference Proceeding Series, 2017.
  • Cimini, Chiara – Pirola, Fabiana – Pinto, Roberto – Cavalieri, Sergio: A human-in-the-loop manufacturing control architecture for the next generation of production systems. Journal of Manufacturing Systems, zv. 54, str. 258-271, 2020.
  • Siri, S. – Ferrara, A. – Sacone, S.: Emerging freeway traffic control strategies. Advances in Industrial Control, č. 9783319759593, str. 293-311, 2018.
  • Makio-Marusik,E. – Ahmad,B. – Harrison,R. – Makio,J. – Walter,A.: Competences of cyber physical systems engineers - Survey results. V Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018, str. 491-496, 2018.
  • Zivkovic,V. – Novoselnik,B. – Baotic,M.: Alternating direction method of multipliers in optimal control of systems of systems. V 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings, str. 908-913, 2018.
  • Sirsak Tepjit – Imre Horváth – Zoltán Rusák: Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0, Kapitola: An Analysis of the State of Framework Development for Reasoning in Smart Cyber-Physical Systems. IOS Pres, str. 82-92, 2018.
  • Fele,F. – Debada,E. – Maestre,J. M. – Camacho,E. F.: Coalitional Control for Self-Organizing Agents. IEEE Transactions on Automatic Control, č. 9, zv. 63, str. 2883-2897, 2018.
  • Findeisen,R. – Kögel,M. – Blasi,S.: Distributed Model Predictive Control Using Cooperative Contract Options. IFAC-PapersOnLine, č. 20, zv. 51, str. 448-454, 2018.
  • Vassalos,D. – Boulougouris,E. – Bujorianu,L. M. – Theotokatos,G. – Bolbot,V.: Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review. Reliability Engineering and System Safety, zv. 182, str. 179-193, 2019.
  • Maekioe-Marusik, Elena: Current Trends in Teaching Cyber Physical Systems Engineering A Literature Review. V 2017 IEEE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN, str. 518-525, 2017.
  • Cha, Suhyun – Ulbrich, Mattias – Weigl, Alexander – Beckert, Bernhard – Land, Kathrin – Vogel-Heuser, Birgit: On the Preservation of the Trust by Regression Verification of PLC software for Cyber-Physical Systems of Systems. V 2019 IEEE 17th International Conference on Industrial Informatics (indin), str. 413-418, 2019.
  • Schmittner,C. – Matischek,R. – Tauber,M. – Palkovits-Rauter,S. – Maksuti,S. – Bicaku,A. – Delsing,J. – Thron,M. – Mantas,G.: Towards trustworthy end-to-end communication in industry 4.0. V Proceedings - 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017, str. 889-896, 2017.
  • Schlüter, F. – Hetterscheid, E.: Morphology for designing cyber-physical systems in supply chain planning and control processes. Logistics Journal, zv. 2019, str. 1-11, 2019.
  • F. Fele: Coalitional model predictive control for systems of systems, Universidad de Sevilla, Universidad de Sevilla, 2019.
  • Antonella Ferrara – Simona Sacone – Silvia Siri: Freeway Traffic Modelling and Control, Springer, 2019.
  • Novoselnik, Branimir – Spudic, Vedrana – Baotic, Mato: Parametric Optimization Based MPC for Systems of Systems With Affine Coordination Constraints. IEEE Transactions on Automatic Control, č. 2, zv. 65, str. 649-663, 2020.
  • Iannino, Vincenzo – Colla, Valentina – Denker, Joachim – Goettsche, Marc: A CPS-Based Simulation Platform for Long Production Factories. Metals, č. 10, zv. 9, 2019.
  • Schranz, M. – Di Caro, G.A. – Schmickl, T. – Elmenreich, W. – Arvin, F. – Şekercioğlu, A. – Sende, M.: Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends. Swarm and Evolutionary Computation, zv. 60, str. 100762, 2021.
  • G. {Keramidas} – C. P. {Antonopoulos} – N. {Voros} – P. {Jääskeläinen} – M. C. {Cid} – E. I. {Zacharaki} – A. P. {Fournaris} – A. {Lalos}: CPSoSaware: Cross-Layer Cognitive Optimization Tools Methods for the Lifecycle Support of Dependable CPSoS. V 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), str. 470-475, 2020.
  • Tepjit, Sirasak – Horváth, Imre – Rusák, Zoltán: The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems: A literature review. Journal of Computational Design and Engineering, č. 4, zv. 6, str. 527-541, 2019.
  • Milena Guessi – Valdemar Vicente Graciano - Neto – Elisa Yumi Nakagawa: Topics on Information Systems: Short Courses for SBSI 2019, Kapitola: Architectural Description of Systems-of-Information. SBC, Porto Alegre, str. 29-52, 2020.
  • Challenger, Moharram – Vangheluwe, Hans: Towards Employing ABM and MAS Integrated with MBSE for the Lifecycle of SCPSoS. V Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, str. 1-7, 2020.
  • Horváth, I.: A computational framework for procedural abduction done by smart cyber-physical systems. Designs, č. 1, zv. 3, str. 1-27, 2019.
R. Martí – S. Lucia – D. Sarabia – R. Paulen – S. Engell – C. de Prada: An Efficient Distributed Algorithm for Multi-Stage Robust Nonlinear Predictive Control. V European Control Conference 2015, Linz, Austria, str. 2669–2674, 2015.
  • Počet citácií       5
  • Jørgensen, John Bagterp – Frison, Gianluca – Kouzoupis, Dimitris – Diehl, Moritz: A high-performance Riccati based solver for tree-structured quadratic program. IFAC-PapersOnLine, č. 1, zv. 50, str. 14399-14405, 2017.
  • Pakazad,S. K. – Hansson,A.: Exploiting chordality in optimization algorithms for model predictive control, zv. 2227, 2018.
  • Diehl,M. – Rawlings,J. B. – Horn,G. – Gillis,J. – Andersson,J. A. E.: CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, č. 1, zv. 11, 2019.
  • Kouzoupis, D. – Klintberg, E. – Frison, G. – Gros, S. – Diehl, M.: A dual Newton strategy for tree-sparse quadratic programs and its implementation in the open-source software treeQP. International Journal of Robust and Nonlinear Control, č. 8, zv. 29, str. 2438-2457, 2019.
  • Pakazad, S.K. – Hansson, A. – Ahmadi, S.P.: Efficient robust model predictive control using chordality. V 2019 18th European Control Conference, ECC 2019, str. 4270-4275, 2019.
S. Thangavel – S. Lucia – R. Paulen – S. Engell: Towards Dual Robust Nonlinear Model Predictive Control: A Multi-stage Approach. V 2015 American Control Conference, Chicago, IL, USA. July 1-3, 2015., str. 428–433, 2015.
  • Počet citácií       7
  • Rossi, Francesco – Reklaitis, Gintaras – Manenti, Flavio – Buzzi-Ferraris, Guido: Multi-Scenario Robust Online Optimization and Control of Fed-Batch Systems via Dynamic Model-Based Scenario Selection. Aiche Journal, č. 9, zv. 62, str. 3264-3284, 2016.
  • Schloeder, J. P. – Potschka, A. – La, H. C. – Bock, H. G.: Dual Control and Information Gain in Controlling Uncertain Processes. Ifac Papersonline, č. 7, zv. 49, str. 139-144, 2016.
  • Diehl,M. – Horn,G. – Gillis,J. – Andersson,J. A. E. – Rawlings,J. B.: CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, č. 1, zv. 11, 2019.
  • Mesbah,A.: Stochastic model predictive control with active uncertainty learning: A Survey on dual control. Annual Reviews in Control, zv. 45, str. 107-117, 2018.
  • Lappas, N.H. – Tejeda-Iglesias, M. – Gounaris, C.E. – Ricardez-Sandoval, L.: Explicit model predictive controller under uncertainty: An adjustable robust optimization approach. Journal of Process Control, zv. 84, str. 115-132, 2019.
  • Rossi,F. – Manenti,F. – Buzzi-Ferraris,G. – Reklaitis,G.: Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty. Computers and Chemical Engineering, zv. 122, str. 395-414, 2019.
  • Paulson, Joel A. – Mesbah, Ali: An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems. International Journal of Robust and Nonlinear Control, č. 15, SI, zv. 29, str. 5017-5037, 2019.
B. Chachuat – B. Houska – R. Paulen – N. Peric – J. Rajyaguru – M. Villanueva: Set-Theoretic Approaches in Analysis, Estimation and Control of Nonlinear Systems. V 9th International Symposium on Advanced Control of Chemical Processes ADCHEM 2015 Whistler, British Colombia, Canada, 7-10 June 2015, str. 982–996, 2015.
  • Počet citácií       22
  • Findeisen,R. – Kogel,M. – Kishida,M.: Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. V 2016 IEEE 55th Conference on Decision and Control, CDC 2016, str. 4065-4071, 2016.
  • Findeisen,R. – Lucia,S. – Bathge,T.: Exploiting models of different granularity in robust predictive control. V 2016 IEEE 55th Conference on Decision and Control, CDC 2016, str. 2763-2768, 2016.
  • Yichen Zhang – Yan Li – Kevin Tomsovic – Seddik Djouadi – Meng Yue: Review on Set-Theoretic Methods for Safety Verification and Control of Power System. IET Energy Systems Integration, 2020.
  • Muxin Sun: Design of Multi-parametric NCO-Tracking Controllers for Linear Continuous-time Systems, Imperial College London, 2018.
  • Diedam, H. – Sager, S.: Global optimal control with the direct multiple shooting method. Optimal Control Applications & Methods, č. 2, SI, zv. 39, str. 449-470, 2018.
  • Schweidtmann,A. M. – Huster,W. R. – Lüthje,J. T. – Mitsos,A.: Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks. Computers and Chemical Engineering, zv. 121, str. 67-74, 2019.
  • Najman,J. – Mitsos,A.: Improved McCormick relaxations in a branch-and-bound framework. V Computing and Systems Technology Division 2017 - Core Programming Area at the 2017 AIChE Annual Meeting, str. 482-492, 2017.
  • Schweidtmann,A. M. – Mitsos,A.: Deterministic Global Optimization with Artificial Neural Networks Embedded. Journal of Optimization Theory and Applications, č. 3, zv. 180, str. 925–948, 2019.
  • Pitt,J. A. – Banga,J. R.: Parameter estimation in models of biological oscillators: An automated regularised estimation approach. BMC Bioinformatics, č. 1, zv. 20, 2019.
  • Bongartz,D. – Mitsos,A.: Deterministic global flowsheet optimization: Between equation-oriented and sequential-modular methods. AIChE Journal, č. 3, zv. 65, str. 1022-1034, 2019.
  • Najman, J. – Mitsos, A.: Tighter McCormick relaxations through subgradient propagation. Journal of Global Optimization, 2019.
  • Huster, W.R. – Schweidtmann, A.M. – Mitsos, A.: Impact of Accurate Working Fluid Properties on the Globally Optimal Design of an Organic Rankine Cycle. Computer Aided Chemical Engineering, zv. 47, str. 427-432, 2019.
  • Schweidtmann, A.M. – Bongartz, D. – Huster, W.R. – Mitsos, A.: Deterministic Global Process Optimization: Flash Calculations via Artificial Neural Networks. Computer Aided Chemical Engineering, zv. 46, str. 937-942, 2019.
  • Najman, J. – Bongartz, D. – Mitsos, A.: Convex relaxations of componentwise convex functions. Computers and Chemical Engineering, č. 106527, zv. 130, 2019.
  • Najman,J. – Bongartz,D. – Mitsos,A.: Relaxations of thermodynamic property and costing models in process engineering. Computers and Chemical Engineering, zv. 130, 2019.
  • Wessling,M. – Mitsos,A. – Ostendorf,K. – Karwe,J. – Kamp,J. – Aumeier,B. M. – Schweidtmann,A. M. – Rall,D.: Simultaneous rational design of ion separation membranes and processes. Journal of Membrane Science, zv. 600, str. 117860, 2020.
  • D. Calzolari – A. Albu-Schäffer – A. M. Giordano: Error Bounds for PD-Controlled Mechanical Systems Under Bounded Disturbances Using Interval Arithmetic. IEEE Robotics and Automation Letters, č. 2, zv. 5, str. 1231-1238, 2020.
  • Bongartz, D. – Najman, J. – Mitsos, A.: Deterministic global optimization of steam cycles using the IAPWS-IF97 model. Optimization and Engineering, 2020.
  • Huster, W.R. – Schweidtmann, A.M. – Lüthje, J.T. – Mitsos, A.: Deterministic global superstructure-based optimization of an organic Rankine cycle. Computers and Chemical Engineering, č. 106996, zv. 141, 2020.
  • Najman, Jaromil – Mitsos, Alexander: On tightness and anchoring of McCormick and other relaxations. Journal of Global Optimization, č. 4, SI, zv. 74, str. 677-703, 2019.
  • Merhy, D. – Stoica Maniu, C. – Alamo, T. – Camacho, E.F. – Ben Chabane, S. – Chevet, T. – Makarov, M. – Hinostroza, I.: Guaranteed set-membership state estimation of an octorotor's position for radar applications. International Journal of Control, č. 11, zv. 93, str. 2760-2770, 2020.
  • Merhy, D. – Stoica Maniu, C. – Alamo, T. – Camacho, E.F. – Ben Chabane, S. – Chevet, T. – Makarov, M. – Hinostroza, I.: Guaranteed set-membership state estimation of an octorotor\\\'s position for radar applications. International Journal of Control, č. 11, zv. 93, str. 2760-2770, 2020.
M. Jelemenský – R. PaulenM. Fikar – Z. Kovacs: Time-Optimal Operation of Multi-Component Batch Diafiltration. Computers & Chemical Engineering, zv. 83, str. 131–138, 2015.
  • Počet citácií       6
  • Religa, Pawel – Kazmierczak, Bernadetta: Desalination of chromium tannery wastewater by nanofiltration with different diafiltration mode. Desalination and Water Treatment, zv. 64, str. 409-413, 2017.
  • Aguero, R. – Bringas, E. – San Roman, M. F. – Ortiz, I. – Ibanez, R.: Membrane Processes for Whey Proteins Separation and Purification. A Review. Current Organic Chemistry, č. 17, zv. 21, str. 1740-1752, 2017.
  • van der Padt, Albert – Jacobs, Marc – Ozkan, Leyla – Saltik, M. Bahadir: Optimal Start-Up and Operation Policy for an Ultrafiltration Membrane Unit in Whey Separation. V 26th European Symposium on Computer Aided Process Engineering (escape), Pt B, str. 1599-1604, 2016.
  • Liu, Ping – Li, Guodong – Liu, Xinggao – Zhang, Zeyin: A NOVEL FAST DYNAMIC OPTIMIZATION APPROACH FOR COMPLEX MULTIVARIABLE CHEMICAL PROCESS SYSTEMS. Canadian Journal of Chemical Engineering, č. 12, zv. 94, str. 2355-2363, 2016.
  • Torrestiana-Sánchez, B. – Martínez-Alvarado, J.C. – Aguilar-Uscanga, M.G.: Isolation of steviol glycosides by a two-step membrane process operating under sustainable flux. Food and Bioproducts Processing, zv. 101, str. 223-230, 2017.
  • Dario Jose Rincon Garcia – José Uriel Sepúlveda-Valencia – Héctor José Ciro-Velásquez: Evaluación del proceso de Diafiltración para la concentración de la proteína en el suero dulce de quesería. DYNA, zv. 87, str. 239-247, 2020.
A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modelling and Optimal Control of Membrane Process with Partial Recirculation. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 90–95, 2015.
  • Počet citácií       1
  • Ashtankar, V, Poonam – Sawarkar, Punam: Role of Panchatikta Panchaprasutik Niruha Vasti in Prediabetes A case report. International Journal of Ayurvedic Medicine, č. 3, zv. 11, str. 588-593, 2020.
R. Martí – S. Lucia – D. Sarabia – R. Paulen – S. Engell – C. de Prada: Improving scenario decomposition algorithms for robust nonlinear model predictive control. Computers & Chemical Engineering, zv. 79, str. 30–45, 2015.
  • Počet citácií       24
  • Gros, Sebastien – Fredriksson, Jonas – Dahl, John – Klintberg, Emil: An improved dual Newton strategy for scenario-tree MPC. V 2016 IEEE 55th Conference on Decision and Control (CDC), str. 3675-3681, 2016.
  • Zhang, S. – Jia, R. – You, F.: Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS. Computers and Chemical Engineering, zv. 140, str. 106943, 2020.
  • Madsen, Henrik – Poulsen, Niels Kjolstad – Mahmoudi, Zeinab – Hagdrup, Morten – Boiroux, Dimitri – Jorgensen, John Bagterp: An Ensemble Nonlinear Model Predictive Control Algorithm in an Artificial Pancreas for People with Type 1 Diabetes. V 2016 European Control Conference (ECC), str. 2115-2120, 2016.
  • Zhang, Runfan – Chen, Diyi – Ma, Xiaoyi: Nonlinear Predictive Control of a Hydropower System Model. Entropy, č. 9, zv. 17, str. 6129-6149, 2015.
  • Klintberg, Emil – Gros, Sebastien: A Parallelizable Interior Point Method for Two-Stage Robust MPC. IEEE Transactions on Control Systems Technology, č. 6, zv. 25, str. 2087-2097, 2017.
  • Oberdieck, Richard Heinrich: Theoretical and algorithmic advances in multi-parametric optimization and control, Imperial College London, 2017.
  • Krishnamoorthy, D. – Foss, B. – Skogestad, S.: A Primal decomposition algorithm for distributed multistage scenario model predictive control. Journal of Process Control, zv. 81, str. 162-171, 2019.
  • Dinesh Krishnamoorthy – Bjarne Foss – Sigurd Skogestad: Gas Lift Optimization under Uncertainty. V Computer Aided Chemical Engineering, vol. 40, str. 1753-1758, 2017.
  • Kouzoupis, D. – Klintberg, E. – Diehl, M. – Gros, S.: A dual Newton strategy for scenario decomposition in robust multistage MPC. International Journal of Robust and Nonlinear Control, č. 6, zv. 28, str. 2340-2355, 2018.
  • Krishnamoorthy, Dinesh – Foss, Bjarne – Skogestad, Sigurd: A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition. Ifac Papersonline, č. 18, zv. 51, str. 351-356, 2018.
  • Jäschke,J. – Krishnamoorthy,D. – Thombre,M. – Skogestad,S.: Data-driven Scenario Selection for Multistage Robust Model Predictive Control⁎. IFAC-PapersOnLine, č. 20, zv. 51, str. 462-468, 2018.
  • Han,X. -. – Feng,Y. – Dong,N. – Wu,A. -.: An improved model-free adaptive predictive control algorithm for nonlinear systems with large time delay. V Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018, str. 60-64, 2018.
  • Krishnamoorthy,D. – Suwartadi,E. – Foss,B. – Skogestad,S. – Jaschke,J.: Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm. IEEE Control Systems Letters, č. 4, zv. 2, str. 581-586, 2018.
  • Holtorf, F. – Mitsos, A. – Biegler, L.T.: Multistage NMPC with on-line generated scenario trees: Application to a semi-batch polymerization process. Journal of Process Control, zv. 80, str. 167-179, 2019.
  • Garcia-Tirado, J. – Corbett, J.P. – Boiroux, D. – Jørgensen, J.B. – Breton, M.D.: Closed-loop control with unannounced exercise for adults with type 1 diabetes using the Ensemble Model Predictive Control. Journal of Process Control, zv. 80, str. 202-210, 2019.
  • Holtorf, Flemming – Mitsos, Alexander – Biegler, Lorenz T.: Adaptive Scenario Generation for Multistage NMPC with Shrinking Horizons. Ifac Papersonline, č. 1, zv. 52, str. 586-591, 2019.
  • Garcia-Tirado,J. – Colmegna,P. – Corbett,J. – Ozaslan,B. – Breton,M. D.: Ensemble model predictive control strategies can reduce exercise hypoglycemia in type 1 diabetes: In silico studies. V Proceedings of the American Control Conference, str. 4752-4758, 2019.
  • Kanavalau,A. – Masters,R. – Kähm,W. – Vassiliadis,V. S.: Robust thermal stability for batch process intensification with model predictive control. Computers and Chemical Engineering, zv. 130, 2019.
  • Garcia-Tirado,J. – Colmegna,P. – Corbett,J. P. – Ozaslan,B. – Breton,M. D.: In Silico Analysis of an Exercise-Safe Artificial Pancreas With Multistage Model Predictive Control and Insulin Safety System. Journal of Diabetes Science and Technology, č. 6, zv. 13, str. 1054-1064, 2019.
  • Walter Kähm: Thermal stability criteria embedded in advanced control systems for batch process intensification, University of Cambridge, University of Cambridge, 2019.
  • Tejeda-Iglesias, M. – Lappas, N.H. – Gounaris, C.E. – Ricardez-Sandoval, L.: Explicit model predictive controller under uncertainty: An adjustable robust optimization approach. Journal of Process Control, zv. 84, str. 115-132, 2019.
  • Allman, Andrew – Tang, Wentao – Daoutidis, Prodromos: DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems. Optimization and Engineering, č. 4, SI, zv. 20, str. 1067-1084, 2019.
  • Ribeiro,L. D. – Secchi,A. R.: A methodology to obtain analytical models that reduce the computational complexity faced in real time implementation of NMPC controllers. Brazilian Journal of Chemical Engineering, č. 3, zv. 36, str. 1255-1278, 2019.
  • Mathur, P. – Swartz, C.L.E. – Zyngier, D. – Welt, F.: Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty. Journal of Process Control, zv. 98, str. 52-65, 2021.
R. Paulen – M. Jelemenský – Z. Kovacs – M. Fikar: Economically optimal batch diafiltration via analytical multi-objective optimal control. Journal of Process Control, zv. 28, str. 73–82, 2015.
  • Počet citácií       8
  • Saltik, M. Bahadir – Ozkan, Leyla – Jacobs, Marc – van der Padt, Albert: Dynamic modeling of ultrafiltration membranes for whey separation processes. Computers & Chemical Engineering, zv. 99, str. 280-295, 2017.
  • Religaa, Pawel – Kazmierczak, Bernadetta: Desalination of chromium tannery wastewater by nanofiltration with different diafiltration mode. Desalination and Water Treatment, zv. 64, str. 409-413, 2017.
  • Wu,D. – Liang,J.: Construction of the cultivation system of innovation and entrepreneurship ability of economics and management specialty relying on multi-way tree optimal solution set. Boletin Tecnico/Technical Bulletin, č. 17, zv. 55, str. 380-387, 2017.
  • Khunnonkwao,P. – Jantama,K. – Kanchanatawee,S. – Galier,S. – Roux-de Balmann,H.: A two steps membrane process for the recovery of succinic acid from fermentation broth. Separation and Purification Technology, zv. 207, str. 451-460, 2018.
  • Robles, Angel – Victoria Ruano, Maria – Charfi, Amine – Lesage, Geoffroy – Heran, Marc – Harmand, Jerome – Seco, Aurora – Steyer, Jean-Philippe – Batstone, Damien J. – Kim, Jeonghwan – Ferrer, Jose: A review on anaerobic membrane bioreactors (AnMBRs) focused on modelling and control aspects. Bioresource Technology, zv. 270, str. 612-626, 2018.
  • Kumar, V. – Kaistha, N.: Invariants for optimal operation of a reactor-separator-recycle process. Journal of Process Control, zv. 82, str. 1-12, 2019.
  • Gao,F. – Zhang,R. – Wang,L.: Iterative learning stabilization and fault-tolerant control for batch processes, str. 1-323, 2019.
  • Ge, Yulei – Li, Shurong – Shi, Yuhuan – Han, Lu: An adaptive wavelet method for solving mixed-integer dynamic optimization problems with discontinuous controls and application to alkali-surfactant-polymer flooding. Engineering Optimization, č. 6, zv. 51, str. 1028-1048, 2019.
S. Lucia – R. Paulen – S. Engell: Multi-stage Nonlinear Model Predictive Control with Verified Robust Constraint Satisfaction. V 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, zv. 53, str. 2816–2821, 2014.
  • Počet citácií       7
  • Pitarch, J. L. – Palacin, C. G. – De Prada, C. – Voglauer, B. – Seyfriedsberger, G.: Optimisation of the resource efficiency in an industrial evaporation system. Journal of Process Control, zv. 56, str. 1-12, 2017.
  • Thombre, Mandar – Krishnamoorthy, Dinesh – Skogestad, Sigurd – Jaschke, Johannes: Data-driven Scenario Selection for Multistage Robust Model Predictive Control. Ifac Papersonline, č. 20, zv. 51, str. 462-468, 2018.
  • Horn,G. – Gillis,J. – Andersson,J. A. E. – Rawlings,J. B. – Diehl,M.: CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, č. 1, zv. 11, 2019.
  • Holtorf, F. – Mitsos, A. – Biegler, L.T.: Multistage NMPC with on-line generated scenario trees: Application to a semi-batch polymerization process. Journal of Process Control, zv. 80, str. 167-179, 2019.
  • Xue, R. – Yuan, W. – Sun, J. – Wang, M.: An improved multi-stage nonlinear model predictive control with application to semi-batch polymerization. V 2019 12th Asian Control Conference, ASCC 2019, str. 1060-1065, 2019.
  • Holtorf, Flemming – Mitsos, Alexander – Biegler, Lorenz T.: Adaptive Scenario Generation for Multistage NMPC with Shrinking Horizons. Ifac Papersonline, č. 1, zv. 52, str. 586-591, 2019.
  • Hanema,J. – Lazar,M. – Tóth,R.: Heterogeneously parameterized tube model predictive control for LPV systems. Automatica, zv. 111, 2020.
R. Hernández – L. Simora – R. Paulen – S. Wegerhoff – R. Mazaeda – C. de Prada – S. Engell: Optimal Integrated Operation of a Sugar Production Plant. Editor(i): Jirí Jaromír Klemeš, Petar Sabev Varbanov, Peng Yen Liew, V 24th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Radarweg 29, PO Box 211, 1000 AE Amsterdam, Netherlands, zv. 2014, str. 637–642, 2014.
  • Počet citácií       2
  • Khezri,R. – Golshannavaz,S. – Vakili,R. – Memar-Esfahani,B.: Multi-layer fuzzy-based under-frequency load shedding in back-pressure smart industrial microgrids. Energy, zv. 132, str. 96-105, 2017.
  • Tkachenko, V, Serhii – Sheiko, V, Tamila – Petrenko, Vasyl V. – Anisimova, Olena M. – Kuznietsova, V, Inha – Khomichak, Lubomir M. – Obodovych, Oleksandr M.: INFLUENCE OF CRYSTALLIZING AGENT ON SUGAR QUALITY. Acta Scientiarum Polonorum-technologia Alimentaria, č. 4, zv. 19, str. 457-465, 2020.
S. Lucia – R. Paulen: Robust Nonlinear Model Predictive Control with Reduction of Uncertainty Via Robust Optimal Experiment Design. V Preprints of the 19th IFAC World Congress Cape Town (South Africa) August 24 - August 29, 2014, str. 1904–1909, 2014.
  • Počet citácií       16
  • Rawlings,J. B. – Horn,G. – Gillis,J. – Andersson,J. A. E. – Diehl,M.: CasADi: a software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, č. 1, zv. 11, 2019.
  • Thuy Thi-Thien Le – Sager, Sebastian – Jost, Felix: A Feedback Optimal Control Algorithm with Optimal Measurement Time Points. Processes, č. 1, zv. 5, 2017.
  • La, H. C. – Potschka, A. – Schloeder, J. P. – Bock, H. G.: DUAL CONTROL AND ONLINE OPTIMAL EXPERIMENTAL DESIGN. Siam Journal on Scientific Computing, č. 4, zv. 39, str. B640-B657, 2017.
  • Krishnamoorthy, Dinesh – Foss, Bjarne – Skogestad, Sigurd: Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network. Processes, č. 4, zv. 4, 2016.
  • Engell,S. – Lemoine-Nava,R. – Walter,S. F. – Körkel,S.: Online Optimal Experiment Design: Reduction of the Number of Variables. IFAC-PapersOnLine, č. 7, zv. 49, str. 889-894, 2016.
  • Bock,H. G. – La,H. C. – Potschka,A. – Schlöder,J. P.: Dual Control and Information Gain in Controlling Uncertain Processes. IFAC-PapersOnLine, č. 7, zv. 49, str. 139-144, 2016.
  • Heirung,T. A. N. – Foss,B. – Ydstie,B. E.: MPC-based dual control with online experiment design. Journal of Process Control, zv. 32, str. 64-76, 2015.
  • Van Impe, Jan – Logist, Filip – Telen, Dries – Houska, Boris: Self-Reflective Model Predictive Control. SIAM Journal on Control and Optimization, č. 5, zv. 55, str. 2959-2980, 2017.
  • La, Huu Chuong: Dual Control for Nonlinear Model Predictive Control, University of Heidelberg, Heidelberg, Germany, 2016.
  • Bradford,E. – Imsland,L.: Stochastic NMPC of Batch Processes Using Parameterized Control Policies, zv. 44, 2018.
  • Žáčeková, Eva: Identification for Model Predictive Control under Closed-loop Conditions, Czech Technical University in Prague, 2018.
  • Jaschke, J. – Skogestad, S. – Krishnamoorthy, D.: Multistage model predictive control with online scenario tree update using recursive Bayesian weighting. V 2019 18th European Control Conference, ECC 2019, str. 1443-1448, 2019.
  • Hille, R. – Budman, H.M.: Experimental Design for Batch-to-Batch Optimization under Model-Plant Mismatch. Industrial and Engineering Chemistry Research, 2019.
  • Walz, Olga – Djelassi, Hatim – Mitsos, Alexander: Optimal experimental design for optimal process design: A trilevel optimization formulation. Aiche Journal, č. 1, zv. 66, str. e16788, 2020.
  • Walter Kähm: Thermal stability criteria embedded in advanced control systems for batch process intensification, University of Cambridge, University of Cambridge, 2019.
  • Bitmead,R. R. – Bruggemann,S.: Surrogate problems for tractable excitation management in stochastic MPC. V Proceedings of the IEEE Conference on Decision and Control, str. 2562-2567, 2019.
M. Jelemenský – R. PaulenM. Fikar – Z. Kovacs: Time-optimal Diafiltration in the Presence of Membrane Fouling. V Preprints of the 19th IFAC World Congress Cape Town (South Africa) August 24 - August 29, 2014, str. 4897–4902, 2014.
  • Počet citácií       2
  • Zhang, Bopeng – Kotsalis, Georgios – Khan, Jahanzeb – Xiong, Zhaoyang – Igou, Thomas – Lan, Guanghui – Chen, Yongsheng: Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting. Journal of Membrane Science, zv. 612, str. 118464, 2020.
  • Sob, P.B.: Performance improvement of a centrifugal pump filtration system for industrial and domestic applications. International Journal of Engineering Research and Technology, č. 8, zv. 13, str. 1840-1846, 2020.
M. Jelemenský – R. PaulenM. Fikar – Z. Kovacs: Time-Optimal Control of Batch Multi-Component Diafiltration Processes. Editor(i): Jirí Jaromír Klemeš, Petar Sabev Varbanov, Peng Yen Liew, V 24th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Radarweg 29, PO Box 211, 1000 AE Amsterdam, Netherlands, zv. 2014, str. 553–558, 2014.
  • Počet citácií       1
  • Deb, Tanmoy Kanti: Implementation of membrane processes for improvement of the detection of food contaminants, Universidade Nova de Lisboa, 2015.
R. Paulen – B. Benyahia – M. A. Latifi – M. Fikar: Analysis of optimal operation of a fed-batch emulsion copolymerization reactor used for production of particles with core–shell morphology. Computers & Chemical Engineering, zv. 66, str. 233–243, 2014.
  • Počet citácií       1
  • Faust, J.M.M. – Hamzehlou, S. – Leiza, J.R. – Asua, J.M. – Mhamdi, A. – Mitsos, A.: Dynamic optimization of a two-stage emulsion polymerization to obtain desired particle morphologies. Chemical Engineering Journal, zv. 359, str. 1035-1045, 2019.
R. Paulen – M. Villanueva – M. Fikar – B. Chachuat: Guaranteed Parameter Estimation in Nonlinear Dynamic Systems using Improved Bounding Techniques. V Proceedings of the 12th European Control Conference, Zurich, Switzerland, str. 4514–4519, 2013.
  • Počet citácií       8
  • Krebs, Stefan – Schnurr, Christoph – Pfeifer, Martin – Weigold, Joerg – Hohmann, Soeren: Reduced-order hybrid interval observer for verified state estimation of an induction machine. Control Engineering Practice, zv. 57, str. 157-168, 2016.
  • Steimel, Jochen – Engell, Sebastian: Optimization-Based Support for Process Design under Uncertainty: A Case Study. Aiche Journal, č. 9, zv. 62, str. 3404-3419, 2016.
  • Krebs, Stefan – Pfeifer, Martin – Fugel, Sebastian – Weigold, Joerg – Hohmann, Soeren: Interval Observer for LPV Systems Based on Time-variant Transformations. V 2016 IEEE 55th Conference on Decision and Control (CDC), str. 4090-4096, 2016.
  • Engell, Sebastian – Goerke, Thilo: Application of Evolutionary Algorithms in Guaranteed Parameter Estimation. V 2016 IEEE Congress on Evolutionary Computation (cec), str. 5100-5105, 2016.
  • Hille,R. – Budman,H. M.: Simultaneous identification and optimization of biochemical processes under model-plant mismatch using output uncertainty bounds. Computers and Chemical Engineering, zv. 113, str. 125-138, 2018.
  • Sheludko,A. S.: Approximation of the solution set for a system of nonlinear inequalities for modelling a one-dimensional chaotic process. Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software, č. 1, zv. 11, str. 152-157, 2018.
  • Sheludko, A.S.: Parameter Estimation for One-Dimensional Chaotic Systems by Guaranteed Algorithm and Particle Swarm Optimization. IFAC-PapersOnLine, č. 32, zv. 51, str. 337-342, 2018.
  • Biegler,L. T. – Thierry,D. – Rodriguez,J. S. – Short,M. – Chen,W. – García-Muñoz,S. – Schenk,C.: Introducing KIPET: A novel open-source software package for kinetic parameter estimation from experimental datasets including spectra. Computers and Chemical Engineering, zv. 134, 2020.
M. Jelemenský – R. PaulenM. Fikar – Z. Kovacs: Economically Optimal Control of Batch Diafiltration Processes. V IEEE Multi-Conference on Systems and Control, Hyderabad, India, str. 734–739, 2013.
  • Počet citácií       1
  • Araromi, Dauda Olurotimi – Ajala, Olajide Olukayode – Sulayman, Aminah Abolore: Development of fuzzy-based autoregressive integrated moving average exogenous input model for filtration process. International Journal of Fuzzy Computation and Modelling, č. 1, zv. 3, str. 1–15, 2020.
R. Paulen – M. Jelemenský – M. Fikar – Z. Kovacs: Optimal balancing of temporal and buffer costs for ultrafiltration/diafiltration processes under limiting flux conditions. Journal of Membrane Science, zv. 444, str. 87–95, 2013.
  • Počet citácií       8
  • Wei, X. – Wang, S. – Shi, Y. – Xiang, H. – Chen, J.: Application of positively charged composite hollow-fiber nanofiltration membranes for dye purification. Industrial and Engineering Chemistry Research, č. 36, zv. 53, str. 14036-14045, 2014.
  • Foley, G.: When should batch ultrafiltration be stopped to maximise profit in the recovery of a non-rejected solute?. Journal of Food Engineering, zv. 153, str. 8-11, 2014.
  • Chaparro, Luis – Dhuique-Mayer, Claudie – Castillo, Soraya – Vaillant, Fabrice – Servent, Adrien – Dornier, Manuel: Concentration and purification of lycopene from watermelon juice by integrated microfiltration-based processes. Innovative Food Science & Emerging Technologies, č. A, zv. 37, str. 153-160, 2016.
  • Naseri Rad, S. – Shirazi, M. M. A. – Marzban, R.: Application of Membrane Separation Technology in Downstream Processing of Bacillus thuringiensis Biopesticide: A Review. Journal of Membrane Science and Research, č. 2, zv. 2, str. 66-77, 2015.
  • Chalova,V. I. – Silva,C. L. M. – Rustad,T. – Kalaydzhiev,H. – Ivanova,P.: Comparative biochemical profile of protein-rich products obtained from industrial rapeseed meal. Emirates Journal of Food and Agriculture, č. 3, zv. 29, str. 170-178, 2017.
  • Chaparro, L. – Castillo, S. – Vaillant, F. – Servent, A. – Dornier, M.: Effect of microfiltration and diafiltration on carotenoid and aromatic compounds of watermelon juice (Citrullus lanatus L.) [Efecto de la microfiltración y diafiltración en el contenido de carotenoides y compuestos aromáticos del jugo de sandía (Citru. Bioagro, č. 3, zv. 29, str. 185-196, 2017.
  • Kumar, V. – Kaistha, N.: Invariants for optimal operation of a reactor-separator-recycle process. Journal of Process Control, zv. 82, str. 1-12, 2019.
  • Da, X. – Qi, T. – Zhang, Y. – Chen, X. – Cui, Z. – Qiu, M. – Fan, Y.: Modeling and optimal operation of intermittent feed diafiltration for refining oligodextran using nanoporous ceramic membranes. Separation and Purification Technology, zv. 253, str. 117491, 2020.
R. Paulen – B. Benyahia – M. A. Latifi – M. Fikar: Dynamic optimization of semi-batch emulsion copolymerization reactor for styrene/butyl acrylate in the presence of a chain transfer agent. Editor(i): Andrzej Kraslawski and Ilkka Turunen, V 23rd European Symposium on Computer Aided Process Engineering, Elsevier, Radarweg 29, PO Box 211, 1000 AE Amsterdam, The Netherlands, zv. 32, str. 721–726, 2013.
  • Počet citácií       1
  • Macbeth, A.J. – Lin, Z. – Goddard, J.M.: General method for emulsion polymerization to yield functional terpolymers. MethodsX, zv. 7, str. 101110, 2020.
R. PaulenM. Fikar – G. Foley – Z. Kovacs – P. Czermak: Time-optimal batch diafiltration. V 8th International Symposium on Advanced Control of Chemical Processes ADCHEM 2012 Singapore, 10-13 July 2012, str. 804–809, 2012.
  • Počet citácií       1
  • Bondar, S. – Chabanova, O. – Sharakhmatova, T. – Trubnikova, A.: ANALYSIS OF A NEW DIAFILTRATION METHOD OF CLEANING BUTTERMILK FROM LACTOSE WITH MINERAL COMPOSITION PRESERVED. Journal of Food Science and Technology-ukraine, č. 1, zv. 12, str. 90-98, 2018.
R. PaulenM. Fikar – G. Foley – Z. Kovacs – P. Czermak: Optimal feeding strategy of diafiltration buffer in batch membrane processes. Journal of Membrane Science, zv. 411-412, str. 160–172, 2012.
  • Počet citácií       17
  • Buonomenna, M. G.: Membrane processes for a sustainable industrial growth. RSC Advances, č. 17, zv. 3, str. 5694-5740, 2013.
  • Schlosser, Š.: Engineering Aspects of Food Biotechnology, Kapitola: Membrane filtration. CRC Press, str. 165-180, 2013.
  • Sala, L. – Gautério, G.V. – Younan, F.F. – Brandelli, A. – Moraes, C.C. – Kalil, S.J.: Integration of ultrafiltration into an aqueous two-phase system in the keratinase purification. Process Biochemistry, č. 11, zv. 49, str. 2016-2024, 2014.
  • Wang, L. – Yang, Z. – Wang, L. – Zhu, R.: Minimizing the operation time for continuous feed diafiltration processes under constant concentration ratio. Desalination, zv. 346, str. 100-106, 2014.
  • Peixoto, C. – Nestola, P. – Carrondo, M. J. T. – Alves, P. M. – Schleuss, T. – Mota, J. P. B. – Martins, D. L. – Roederstein, S.: Evaluation of Novel Large Cut-Off Ultrafiltration Membranes for Adenovirus Serotype 5 (Ad5) Concentration. PLoS ONE, č. 12, zv. 9, str. e115802, 2014.
  • Carrondo, M.J.T. – Mota, J.P.B. – Alves, P.M. – Silva, R.R.J.S. – Peixoto, C. – Nestola, P.: Improved virus purification processes for vaccines and gene therapy. Biotechnology and Bioengineering, č. 5, zv. 112, str. 843-857, 2015.
  • Lutz H.: Ultrafiltration for Bioprocessing: Development and Implementation of Robust Processes, 2015.
  • Nguyen, D. T. N. N. – Lameloise, M. -L. – Guiga, W. – Lewandowski, R. – Bouix, M. – Fargues, C.: Optimization and modeling of diananofiltration process for the detoxification of ligno-cellulosic hydrolysates - Study at pre-industrial scale. Journal of Membrane Science, zv. 512, str. 111-121, 2016.
  • Saltik, M. Bahadir – Ozkan, Leyla – Jacobs, Marc – van der Padt, Albert: Dynamic modeling of ultrafiltration membranes for whey separation processes. Computers & Chemical Engineering, zv. 99, str. 280-295, 2017.
  • Religaa, Pawel – Kazmierczak, Bernadetta: Desalination of chromium tannery wastewater by nanofiltration with different diafiltration mode. Desalination and Water Treatment, zv. 64, str. 409-413, 2017.
  • Portugal, Carla A. M.: Control of Protein-Surface Interactions and Transport Properties: Functional Membranes and Operating Conditions. Current Organic Chemistry, č. 17, zv. 21, str. 1725-1739, 2017.
  • Tavakolinaeini Ashkan: Large Scale Production, Purification, and Modification of Chitosan-based Complexes for Gene Therapy, Universite de Montreal, 2017.
  • Pirrung, S.M. – Berends, C. – Backx, A.H. – van Beckhoven, R.F.W.C. – Eppink, M.H.M. – Ottens, M.: Model-based optimization of integrated purification sequences for biopharmaceuticals. Chemical Engineering Science: X, č. 100025, zv. 3, 2019.
  • Kumar, V. – Kaistha, N.: Invariants for optimal operation of a reactor-separator-recycle process. Journal of Process Control, zv. 82, str. 1-12, 2019.
  • Qi, T. – Da, X. – Zhang, Y. – Chen, X. – Cui, Z. – Qiu, M. – Fan, Y.: Modeling and optimal operation of intermittent feed diafiltration for refining oligodextran using nanoporous ceramic membranes. Separation and Purification Technology, zv. 253, str. 117491, 2020.
  • Héctor José Ciro-Velásquez – José Uriel Sepúlveda-Valencia – Dario Jose Rincon Garcia: Evaluación del proceso de Diafiltración para la concentración de la proteína en el suero dulce de quesería. DYNA, zv. 87, str. 239-247, 2020.
  • Kuhn, M. – Briesen, H.: Optimizing the axial resistance profile of submerged hollow fiber membranes. Processes, č. 1, zv. 9, str. 1-13, 2021.
R. PaulenM. Fikar – Z. Kovacs – P. Czermak: Process optimization of diafiltration with time-dependent water adding for albumin production. Chemical Engineering and Processing: Process Intensification, č. 8, zv. 50, str. 815–821, 2011.
  • Počet citácií       12
  • Buonomenna, M. G.: Membrane processes for a sustainable industrial growth. RSC Advances, č. 17, zv. 3, str. 5694-5740, 2013.
  • Zhao, L. – Zhao, H. – Nguyen, P. – Li, A. – Jiang, L. – Xia, Q. – Rong, Y. – Qiu, Y. – Zhou, J.: Separation performance of multi-components solution by membrane technology in continual diafiltration mode. Desalination, zv. 322, str. 113-120, 2013.
  • Wang, L. – Wang, L. – Xing, W. – Xu, N.: Time-optimal diafiltration processes for Cephalosporin C separated from fermentation broth under constant yield and constant concentration. Separation and Purification Technology, zv. 122, str. 256-261, 2014.
  • Wang, Longyao – Yang, Zhengdong – Wang, Lan – Zhu, Rongshun: Minimizing the operation time for continuous feed diafiltration processes under constant concentration ratio. Desalination, zv. 346, str. 100-106, 2014.
  • Foley, G.: When should batch ultrafiltration be stopped to maximise profit in the recovery of a non-rejected solute?. Journal of Food Engineering, zv. 153, str. 8-11, 2014.
  • Foley,G.: Membrane filtration: A problem solving approach with MATLAB, str. 1-327, 2011.
  • Deb, Tanmoy Kanti: Implementation of membrane processes for improvement of the detection of food contaminants, Universidade Nova de Lisboa, 2015.
  • Ambrosi, Alan – Al-Furaiji, Mustafa – McCutcheon, Jeffrey R. – Cardozo, Nilo Sergio M. – Tessaro, Isabel Cristina: Transport of Components in the Separation of Ethanol from Aqueous Dilute Solutions by Forward Osmosis. Industrial & Engineering Chemistry Research, č. 8, zv. 57, str. 2967-2975, 2018.
  • Qiu, Y.-R. – Tang, S.-Y. – Xu, J.-Y.: Pretreatment of poly (acrylic acid) sodium by continuous diafiltration and time revolution of filtration potential [连续渗滤法预处理聚丙烯酸钠以及过滤电势随时间的变化]. Journal of Central South University, č. 3, zv. 26, str. 577-586, 2019.
  • Pirrung, S.M. – Berends, C. – Backx, A.H. – van Beckhoven, R.F.W.C. – Eppink, M.H.M. – Ottens, M.: Model-based optimization of integrated purification sequences for biopharmaceuticals. Chemical Engineering Science: X, č. 100025, zv. 3, 2019.
  • Varzakas, Theodoros: Centrifugation-Filtration. V Food Engineering Handbook, Food Process Engineering, str. 61-130, 2015.
  • Kuhn, M. – Briesen, H.: Optimizing the axial resistance profile of submerged hollow fiber membranes. Processes, č. 1, zv. 9, str. 1-13, 2021.
R. Paulen – G. Foley – M. Fikar – Z. Kovacs – P. Czermak: Minimizing the process time for ultrafiltration/diafiltration under gel polarization conditions. Journal of Membrane Science, č. 1-2, zv. 380, str. 148–154, 2011.
  • Počet citácií       12
  • Field,R.: Diafiltration under condition of quasi-constant membrane surface concentration. Journal of Membrane Science, č. 1-2, zv. 383, str. 301-302, 2011.
  • Wang, L. – Wang, L.: Estimation and control of process time for membrane separation of cephalosporin C from fermentation broth. Huagong Xuebao/CIESC Journal, č. 9, zv. 64, str. 3256-3261, 2013.
  • Wang, L. – Wang, L. – Xing, W. – Xu, N.: Time-optimal diafiltration processes for Cephalosporin C separated from fermentation broth under constant yield and constant concentration. Separation and Purification Technology, zv. 122, str. 256-261, 2014.
  • Prudêncio, E. S. – Müller, C. M. O. – Fritzen-Freire, C. B. – Amboni, R. D. M. C. – Petrus, J. C. C.: Effect of whey nanofiltration process combined with diafiltration on the rheological and physicochemical properties of ricotta cheese. Food Research International, zv. 56, str. 92-99, 2014.
  • Lorenzi, R. – Raghunath, B. – Yanglin, M. – Karen, C.: Simulation of Process Performance on Contaminant Removal Using Constant and Non-Constant Volume Diafiltration Modeling.. BioProcessing Journal, č. 2, zv. 15, str. 37, 2016.
  • Zhu, Yong – Bai, Zhishan – Luo, Wenqiang – Wang, Bingjie – Zhai, Linlin: A facile ion imprinted synthesis of selective biosorbent for Cu2+ via microfluidic technology. Journal of Chemical Technology and Biotechnology, č. 8, zv. 92, str. 2009-2022, 2017.
  • Saltik, M. Bahadir – Ozkan, Leyla – Jacobs, Marc – van der Padt, Albert: Dynamic modeling of ultrafiltration membranes for whey separation processes. Computers & Chemical Engineering, zv. 99, str. 280-295, 2017.
  • Gautério,G. V. – Malta,D. S. – Reginatto,L. – Feltrin,A. C. P. – Garda-Buffon,J. – Kalil,S. J.: Use of partially purified peroxidase of agricultural by-product rice bran in deoxynivalenol reduction. Journal of Chemical Technology and Biotechnology, č. 8, zv. 92, str. 1998-2008, 2017.
  • Wen-qiong,W. – Yun-chao,W. – Xiao-feng,Z. – Rui-xia,G. – Mao-lin,L.: Whey protein membrane processing methods and membrane fouling mechanism analysis. Food Chemistry, zv. 289, str. 468-481, 2019.
  • Pirrung, S.M. – Berends, C. – Backx, A.H. – van Beckhoven, R.F.W.C. – Eppink, M.H.M. – Ottens, M.: Model-based optimization of integrated purification sequences for biopharmaceuticals. Chemical Engineering Science: X, č. 100025, zv. 3, 2019.
  • Rathore, A.S. – Thori, S. – Thakur, G.: Implementing PAT for single-pass tangential flow ultrafiltration for continuous manufacturing of monoclonal antibodies. Journal of Membrane Science, zv. 613, str. 118492, 2020.
  • Qi, T. – Da, X. – Zhang, Y. – Chen, X. – Cui, Z. – Qiu, M. – Fan, Y.: Modeling and optimal operation of intermittent feed diafiltration for refining oligodextran using nanoporous ceramic membranes. Separation and Purification Technology, zv. 253, str. 117491, 2020.
R. PaulenM. Fikar – M. A. Latifi: Dynamic Optimization of a Polymerization Reactor. V 18th Mediterranean Conference on Control and Automation, Marrakech, Morocco, str. 733–738, 2010.
  • Počet citácií       4
  • Gil, I.D.: Modeling, Simulation, Dynamic Optimization and Control of a Semibatch Emulsion Polymerization Process, University of Lorraine, 2014.
  • Nacerodien, Mogamat Thaabit: Investigation of Polymer Grade Blending in Ziegler-Natta Catalysed Ethylene Polymerisation Systems, University of Cape Town, 2014.
  • Asdrúbal Antonio Ramírez Botero: Modeling, simulation, dynamic optimization and control of aplasma assisted reactive evaporation process forpreparationof Zinc Oxide (ZnO) thin films, Universidad Nacional de Colombia, 2020.
  • Herrera, Andres A. – Raba, Bibiana – Rodriguez, Gerardo – Gil, Ivan D.: Dynamic optimization and experimental validation of a pilot scale emulsion polymerization reactor. Chemical Engineering and Processing-process Intensification, zv. 144, str. UNSP 107635, 2019.
R. PaulenM. Fikar – M. A. Latifi: Dynamic Optimization of a Hybrid System: Emulsion Polymerization Reaction. Journal of Cybernetics and Informatics, zv. 10, str. 31–40, 2010.
  • Počet citácií       2
  • Gil, I.D. – Vargas, J.C. – Corriou, J.P.: Optimal nonlinear control of an industrial emulsion polymerization reactor. Chemical Engineering Research and Design, č. Supplment C, zv. 111, str. 63-82, 2016.
  • Gil, I.D.: Modeling, Simulation, Dynamic Optimization and Control of a Semibatch Emulsion Polymerization Process, University of Lorraine, 2014.
R. PaulenM. Fikar – M. Čižniar – M. A. Latifi: Global Optimization for Parameter Estimation of Dynamic Systems. AT&P Journal Plus, č. 2, str. 71–78, 2009.
  • Počet citácií       1
  • Bostik, Josef – Kukal, Jaromir – Macek, Karel: On Reinforcement Learning in Optimization Heuristics and Optimal Method Switching. V 16th International Conference on Soft Computing Mendel 2010, str. 22-28, 2010.
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