Optimal Control for Process Industries

Project code APVV-15-0007

Date 2016-2020

Abstract
The main aim of the project is design of effective and advances methods of process control and study of optimal process operation. We will aim our attention mainly to processes with heat and mass transfer. These processes are inherently complex, exhibit nonlinearities and hybrid behaviour that has consequences in control quality and performance. Optimal control will include dynamic optimisation in continuous and discrete domains as a tool for qualitative analysis at upper process control level. Repeated dynamic optimisation at the lower lever yields algorithms of predictive control. This will result in characterisation of optimal operation regimes and controllers optimising processes and large units composed from them. Also important will be software implementation of proposed solutions, available to a larger community in open source code as well as verification in laboratory conditions.

Objectives
The aim of the proposed project is to investigate and design new methods in the area of automation and control in process industries to increase profitability, stability, and competitiveness. We will focus on study of processes that are not operated in steady-state. Their control is example of optimal operation on multiple levels. We will study vertical integration between upper and lower levels, safety of communication between levels, reduction of complexity and increase of intelligence (smartness) of the basic process control level.

Goals for the first phase, 2016-2017: Analysis and proposal of solution

Goals for the second phase, 2017-2019: Development of methods

Goals for the third phase, 2019-2020: Validation and applications of methods

Solvers
OIRP

Publications

2019

  1. P. BakaráčM. Kvasnica: Approximate explicit robust model predictive control of a CSTR with fast reactions (in ). Chemical papers, no. 3, vol. 73, pp. 611–618, 2019.
  2. M. Bakošová – R. Trautenberger – J. Derco – J. Kavor – P. ValiaugaJ. OravecA. Vasičkaninová: Modelling and Control of a Carrousel Type Biochemical Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  3. Ľ. ČirkaM. Kalúz – D. Dzurková – R. Valo: Educational Device Flexy2 in the Teaching of Experimental Identi cation. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 239–244, 2019.
  4. 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(s): Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan, In 29th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 29, pp. 571–576, 2019.
  5. K. Fedorová – P. BakaráčM. Kvasnica: Comparison of Two Approaches to Agile Manoeuvres via MPC. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  6. K. Fedorová – P. BakaráčM. Kvasnica: Agile Manoeuvres using Model Predictive Control. Acta Chimica Slovaca, no. 1, vol. 12, pp. 136–141, 2019.
  7. M. Fikar: Optimal Control of Membrane Processes. In Process Systems Engineering (PSE) Asia, Chulalongkorn Unviersity, Bangkok, Thajsko, pp. 6–6, 2019.
  8. M. Furka – M. Klaučo: Development and Implementation of Control Algorithms for Furuta Pendulum. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  9. L. Galčíková – J. OravecM. Bakošová: Advanced Robust MPC Design for Plate Heat Exchanger. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  10. M. HorváthováJ. OravecM. BakošováM. Kvasnica: Robust Convex-lifting-based Control Using Approximated Feedback Control Law. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  11. M. KalúzM. KlaučoĽ. ČirkaM. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. In 12th IFAC Symposium Advances in Control Education, pp. 159–164, 2019.
  12. K. Kiš – M. Klaučo: Machine Learning Approaches Applied to Generation of Explicit Control. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  13. M. KlaučoM. KalúzM. Kvasnica: Machine learning-based warm starting of active set methods in embedded model predictive control. Engineering Applications of Artificial Intelligence, vol. 77, pp. 1–8, 2019.
  14. M. KlaučoM. Kvasnica: MPC-Based Reference Governors, Editor(s): M. J. Grimble, A. Ferrara, Springer, 2019.
  15. M. KlaučoM. Kvasnica: Parametric Optimization with the MPT Toolbox and its Applications in Optimal Control. In 30th EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH, Dublin, vol. 30, 2019.
  16. M. KvasnicaP. BakaráčM. Klaučo: Complexity reduction in explicit MPC: A reachability approach. Systems & Control Letters, vol. 124, pp. 19–26, 2019.
  17. Y. Lohr – M. KlaučoM. Kalúz – M. Mönnigmann: Mimicking Predictive Control with Neural Networks in Domestic Heating Systems. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 19–24, 2019.
  18. M. Mojto – K. Ľubušký – R. PaulenM. Fikar: Advanced Process Control of a Depropanizer Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  19. M. Mojto – R. Paulen – K. Ľubušký – M. Fikar: Modelling and Analysis of Control Pairings of an Industrial Depropanizer Column. In Advanced Process Modelling Forum 26-27 March 2019, pp. 5–6, 2019.
  20. J. OravecM. Bakošová – L. Galčíková – M. Slávik – M. HorváthováA. Mészáros: Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis. Energy, vol. 180, pp. 303–314, 2019.
  21. J. Oravec – J. Holaza – M. Horváthová – N. A. Nguyen – M. KvasnicaM. Bakošová: Convex-lifting-based robust control design using the tunable robust invariant sets. European Journal of Control, vol. 49, pp. 44–52, 2019.
  22. R. PaulenM. Fikar: Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation. Computers & Chemical Engineering, vol. 128, pp. 488–495, 2019.
  23. R. PaulenM. Fikar: Dual-Control-Based Approach to Batch Process Operation under Uncertainty Based on Optimality-Conditions Parametrization. Industrial & Engineering Chemistry Research, no. 30, vol. 58, pp. 13508–13516, 2019.
  24. A. Sharma – R. ValoM. KalúzR. PaulenM. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, vol. 76, pp. 155–164, 2019.
  25. J. Su – Y. Zha – K. Wang – M. Villanueva – R. Paulen – B. Houska: Interval Superposition Arithmetic for Guaranteed Parameter Estimation. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 574–579, 2019.
  26. S. Thangavel – S. Subramanian – R. Paulen – S. Engell: Robust Multi-Stage NMPC under Structural Plant-Model Mismatch without Full-State Measurements. In European Control Conference 2019, pp. 781–786, 2019.
  27. C. E. ValeroR. Paulen: Set-Theoretic State Estimation for Multi-output Systems using Block and Sequential Approaches. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 268–273, 2019.
  28. C. E. ValeroR. Paulen: Effective Recursive Set-membership State Estimation for Robust Linear MPC. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 486–491, 2019.
  29. P. ValiaugaR. Paulen: Moving-horizon Guaranteed Parameter Estimation: Influence of the Measurement Error. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 256–261, 2019.
  30. P. ValiaugaR. Paulen: Moving-horizon Guaranteed Parameter Estimation. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 112–117, 2019.
  31. A. VasičkaninováM. BakošováJ. OravecA. Mészáros: Model Predictive Control of a Tubular Chemical Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 228–233, 2019.
  32. M. Villanueva – X. Feng – R. Paulen – B. Chachuat – B. Houska: Convex Enclosures for Constrained Reachability Tubes (in ). In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 118–123, 2019.

2018

  1. P. Bakaráč – J. Holaza – M. KlaučoM. Kalúz – J. Löfberg – M. Kvasnica: Explicit MPC based on Approximate Dynamic Programming. In European Control Conference 2018, Limassol, Cyprus, pp. 1172–1177, 2018.
  2. P. BakaráčM. KlaučoM. Fikar: Comparison of Inverted Pendulum Stabilization with PID, LQ, and MPC Control. Editor(s): J. Cigánek, Š. Kozák, A. Kozáková, In 2018 Cybernetics & Informatics (K&I), Slovak Chemical Library, Bratislava, Lazy pod Makytou, Slovakia, vol. 29, 2018.
  3. P. BakaráčM. Kvasnica: Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, no. 2, vol. 11, pp. 175–181, 2018.
  4. P. BakaráčP. ValiaugaM. Kvasnica: Energy-Efficient Swing up and Explicit MPC Stabilization of an Inverted Pendulum. In Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, 2018.
  5. J. Drgoňa – D. Picard – M. Kvasnica – L. Helsen: Approximate model predictive building control via machine learning. Applied Energy, vol. 218, pp. 199–216, 2018.
  6. J. Holaza – M. Klaučo – J. Drgoňa – J. OravecM. KvasnicaM. Fikar: MPC-Based Reference Governor Control of a Continuous Stirred-Tank Reactor. Computers & Chemical Engineering, vol. 108, pp. 289–299, 2018.
  7. M. KalúzĽ. ČirkaM. Fikar: Flexy: An Open-source Device for Control Education. Editor(s): Cardoso, A., In 13th APCA International Conference on Automatic Control and Soft Computing, Nova Gráfica, Univesrity of the Azores, Ponta Delgada, Portugal, pp. 37–42, 2018.
  8. M. KlaučoM. Kvasnica: Towards On-Line Tunable Explicit MPC Using Interpolation. In Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, 2018.
  9. M. Kvasnica – C. Jones – I. Pejcic – J. Holaza – M. Korda – P. Bakaráč: Real-Time Implementation of Explicit Model Predictive Control, In Handbook of Model Predictive Control, Editor(s): Sasa V. Rakovic, William S. Levine, Birkhauser, pp. 387–412, 2018.
  10. A. Mészáros – L. Horváth: Contextual Modeling of Engineering Structures Using Organized Content. In 16th International Symposium of Intelligent Systems and Informatics, vol. 16, pp. 105–109, 2018.
  11. I. Mutlu – J. Oravec – F. Schrödel – R. Vosswinkel – M. Bakošová – M. T. Söylemez: Robust Model Predictive Control Based on Stabilizing Parameter Space Calculus. In European Control Conference 2018, Limassol, Cyprus, pp. 206–212, 2018.
  12. J. OravecM. Bakošová – L. Hanulová: Experimental Investigation of Robust MPC Design with Integral Action for a Continuous Stirred Tank Reactor. In 57th IEEE Conference on Decision and Control, Miami, Florida, USA, vol. 57, pp. 2611–2616, 2018.
  13. J. OravecM. Bakošová – L. Hanulová – A. Mészáros: Multivariable Robust Model Predictive Control of a Laboratory Chemical Reactor. Editor(s): Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek, In 28th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 28, pp. 961–966, 2018.
  14. J. OravecM. Bakošová – M. Trafczynski – A. VasičkaninováA. Mészáros – M. Markowski: Robust model predictive control and PID control of shell-and-tube heat exchangers. Energy, vol. 159, pp. 1–10, 2018.
  15. J. OravecM. BakošováA. VasičkaninováA. Mészáros: Robust Model Predictive Control of a Plate Heat Exchanger. Chemical Engineering Transactions, vol. 70, pp. 25–30, 2018.
  16. R. PaulenM. Fikar: Dual robust control of batch processes based on optimality-conditions parameterization. In Preprints, 10th IFAC International Symposium on Advanced Control of Chemical Processes Shenyang, Liaoning, China, July 25-27, 2018, Elsevier, pp. 768–773, 2018.
  17. R. Paulen – A. Sharma – M. Fikar: Dynamic Real-time Optimization of Batch Membrane Processes using Pontryagin’s Minimum Principle. Editor(s): Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek, In 28th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 28, pp. 1045–1050, 2018.
  18. N. Peric – R. Paulen – M. Villanueva – B. Chachuat: Set-membership nonlinear regression approach to parameter estimation. Journal of Process Control, vol. 70, pp. 80–95, 2018.
  19. U. Sharma – S. Thangavel – A. R. Gottu Mukkula – R. Paulen: Effective Recursive Parallelotopic Bounding for Robust Output-Feedback Control. In 18th IFAC Symposium on System Identification, IFAC, pp. 1032–1035, 2018.
  20. A. Sharma – R. ValoM. KalúzR. PaulenM. Fikar: Experimental validation and comparison of time-optimal and industrial strategy for membrane separation process. In Preprints of the 9th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 21-23, 2018, pp. 869–874, 2018.
  21. J. Su – Y. Zha – K. Wang – M. Villanueva – R. Paulen – B. Houska: Interval Superposition Arithmetic for Guaranteed Parameter Estimation (in ). 2018.
  22. 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. In Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, pp. 577–582, 2018.
  23. J. Števek – M. KvasnicaM. Fikar – A. Gomola: A Parametric Programming Approach to Automated Integrated Circuit Design. IEEE Transactions on Control Systems Technology, no. 4, vol. 26, pp. 1180–1191, 2018.
  24. S. Thangavel – M. Aboelnour – S. Lucia – R. Paulen – S. Engell: Robust Dual Multi-stage NMPC using Guaranteed Parameter Estimation. In Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, pp. 74–79, 2018.
  25. S. Thangavel – S. Lucia – R. Paulen – S. Engell: Dual robust nonlinear model predictive control: A multi-stage approach. Journal of Process Control, vol. 72, pp. 39–51, 2018.

2017

  1. P. BakaráčM. KalúzĽ. Čirka: Design and Development of a Low-cost Inverted Pendulum for Control Education. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 398–403, 2017.
  2. M. BakošováJ. OravecA. VasičkaninováA. Mészáros: Neural-Network-Based and Robust Model-Based Predictive Control of a Tubular Heat Exchanger. Chemical Engineering Transactions, vol. 61, pp. 301–306, 2017.
  3. R. Bousbia-Salah – F. Lesage – M. Fikar – M. A. Latifi: Closed-loop Dynamic Optimization of a Polymer Grafting Batch Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 376–379, 2017.
  4. J. Drgoňa – M. Klaučo – F. Janeček – M. Kvasnica: Optimal control of a laboratory binary distillation column via regionless explicit MPC. Computers & Chemical Engineering, vol. 96, pp. 139–148, 2017.
  5. J. Drgoňa – Z. Takáč – M. Horňák – R. ValoM. Kvasnica: Fuzzy Control of a Laboratory Binary Distillation Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 120–125, 2017.
  6. M. Fikar: Optimal Control of Batch Membrane Processes (in Slovak). Editor(s): Zdeněk Palatý, In Membránové procesy pro udržitelný rozvoj, Česká membránová platforma, z.s, 2017.
  7. A. R. Gottu Mukkula – R. Paulen: Robust model-based design of experiments for guaranteed parameter estimation. Editor(s): Antonio Espuña, Moisès Graells and Luis Puigjaner, In 27th European Symposium on Computer-Aided Process Engineering, Elsevier, pp. 1639–1644, 2017.
  8. J. Holaza – M. KlaučoM. Kvasnica: Solution Techniques for Multi-Layer MPC-Based Control Strategies. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, 2017.
  9. J. Holaza – R. ValoM. Klaučo: A Novel Approach of Control Design of the pH in the Neutralization Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 191–196, 2017.
  10. D. Ingole – J. Drgoňa – M. KalúzM. KlaučoM. BakošováM. Kvasnica: Model Predictive Control of a Combined Electrolyzer-Fuel Cell Educational Pilot Plant. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 147–154, 2017.
  11. D. Ingole – J. Drgoňa – M. Kvasnica: Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 422–427, 2017.
  12. F. Janeček – M. KlaučoM. KalúzM. Kvasnica: OPTIPLAN: A Matlab Toolbox for Model Predictive Control with Obstacle Avoidance. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, 2017.
  13. F. Janeček – M. KlaučoM. Kvasnica: Trajectory Planning and Following for UAVs with Nonlinear Dynamics. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 333–338, 2017.
  14. M. Jelemenský – M. FikarR. Paulen: Time-Optimal Operation of Membrane Processes in the Presence of Fouling with Set-Membership Parameter Estimation. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 4776–4781, 2017.
  15. M. Jelemenský – R. PaulenM. Fikar: Time-optimal Batch Diafiltration under Fouling and Limiting Flux Conditions. In 10th World Congress of Chemical Engineering, vol. 10, 2017.
  16. M. KalúzĽ. ČirkaR. ValoM. Fikar: Lab of Things: A Network-Based I/O Services for Laboratory Experimentation. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 14028–14033, 2017.
  17. M. KlaučoM. KalúzM. Kvasnica: Real-time implementation of an explicit MPC-based reference governor for control of a magnetic levitation system. Control Engineering Practice, no. 60, pp. 99–105, 2017.
  18. M. KlaučoM. Kvasnica: Control of a boiler-turbine unit using MPC-based reference governors. Applied Thermal Engineering, vol. 110, pp. 1437–1447, 2017.
  19. M. KlaučoR. Valo – J. Drgoňa: Reflux control of a laboratory distillation column via MPC-based reference governor. Acta Chimica Slovaca, no. 2, vol. 10, pp. 139–143, 2017.
  20. N. A. Nguyen – S. Olaru – P. Rodríguez-Ayerbe – M. Kvasnica: Convex liftings-based robust control design. Automatica, no. March 2017, vol. 77, pp. 206–213, 2017.
  21. J. OravecM. Bakošová – L. Hanulová – M. Horváthová: Design of Robust MPC with Integral Action for a Laboratory Continuous Stirred-Tank Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 459–464, 2017.
  22. J. OravecM. Bakošová – D. Pakšiová – N. Mikušová – K. Batárová: Advanced Robust MPC Design of a Heat Exchanger: Modeling and Experiments. Editor(s): Antonio Espuña, Moisès Graells, Luis Puigjaner, In 27th European Symposium on Computer Aided Process Engineering, Elsevier, Barcelona, Spain, pp. 1585–1590, 2017.
  23. J. OravecM. BakošováP. Valiauga: Advanced Process Control Design for a Distillation Column Using UniSim Design. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 303–308, 2017.
  24. J. Oravec – Y. Jiang – B. Houska – M. Kvasnica: Parallel Explicit MPC for Hardware with Limited Memory. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 3356–3361, 2017.
  25. J. OravecM. KlaučoM. Kvasnica – J. Löfberg: Computationally Tractable Formulations for Optimal Path Planning with Interception of Targets’ Neighborhoods. Journal of Guidance, Control, and Dynamics, no. 5, vol. 40, pp. 1221–1230, 2017.
  26. J. OravecM. KvasnicaM. Bakošová: Quasi-Non-Symmetric Input and Output Constraints in LMI-based Robust MPC. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11829–11834, 2017.
  27. J. Oravec – D. Pakšiová – M. BakošováM. Fikar: Soft-Constrained Alternative Robust MPC: Experimental Study. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11877–11882, 2017.
  28. J. Oravec – M. Trafczynski – M. Bakošová – M. Markowski – A. Mészáros – K. Urbaniec: Robust Model Predictive Control of Heat Exchanger Network in the Presence of Fouling. Chemical Engineering Transactions, vol. 61, pp. 334–342, 2017.
  29. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 185–190, 2017.
  30. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modeling and optimal operation of batch closed-loop diafiltration processes. Chemical Engineering Research and Design, vol. 122, pp. 198–210, 2017.

2016

  1. D. Ingole – J. Drgoňa – M. KalúzM. KlaučoM. BakošováM. Kvasnica: Explicit Model Predictive Control of a Fuel Cell. In The European Conference on Computational Optimization, Leuven, Belgium, vol. 4, 2016.
  2. M. Jelemenský – D. Pakšiová – R. Paulen – M. A. Latifi – M. Fikar: Combined Estimation and Optimal Control of Batch Membrane Processes. Journal of Processes, no. 4, vol. 4, 2016.
  3. M. Klaučo – S. Blažek – M. Kvasnica: An Optimal Path Planning Problem for Heterogeneous Multi-Vehicle Systems. International Journal of Applied Mathematics and Computer Science, no. 2, vol. 26, pp. 297–308, 2016.
  4. D. Picard – J. Drgoňa – L. Helsen – M. Kvasnica: Impact of the controller model complexity on MPC performance evaluation for building climate control. In The European Conference on Computational Optimization, Leuven, Belgium, vol. 4, 2016.
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