Position:
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 674
eMail:
Phone:
+421 259 325 362
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Citations

  • Total citations       352

  • Number of citations       1
  • Jean-Marc Commenge: Big Data et Intelligence Artificielle pour le Génie des Procédés. École d’ingénieur. France. 2020. hal-03107557. 2020.
J. OravecM. BakošováM. HorváthováL. Galčíková – M. Slávik – A. VasičkaninováA. Mészáros: Convex-lifting-based Robust Control of a Laboratory Plate Heat Exchanger. Chemical Engineering Transactions, vol. 81, pp. 733–738, 2019.
  • Number of citations       1
  • Deng, T. – Li, X. – Zhang, L. – Lian, J. – Ma, T. – Wang, Q.: Controlling effect of phase change material based heat exchanger on supercritical CO2 Brayton cycle. Journal of Cleaner Production, no. 122994, vol. 277, 2020.
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.
  • Number of citations       2
  • Dubljevic, S. – Koch, C.R. – Zhang, L. – Xie, J.: Model Predictive Control of Jacket Tubular Reactors with a Reversible Exothermic Reaction. Industrial and Engineering Chemistry Research, 2020.
  • Ritonja, J.: Adaptive Control of CO2 Production during Milk Fermentation in a Batch Bioreactor. Mathematics, vol. 9, pp. 1712, 2021.
  • Number of citations       3
  • M. Trafczynski – M. Markowski – K. Urbaniec: Energy saving potential of a simple control strategy for heat exchanger network operation under fouling conditions Author links open overlay panel. Renewable and Sustainable Energy Reviews, vol. 111, pp. 355-364, 2019.
  • J.J. Klemeš – Q.W. Wang – P.S. Varbanov – M.Zeng – H.H. Chin – N. S. Lal – N-Q. Li – B. Wang – X.-Ch. Wang – T. G. Walmsley: Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation. Renewable and Sustainable Energy Reviews, vol. 120, pp. 1-31, 2020.
  • D. G. Olsen – B. Wellig – P. Gruber – R. Agner – E. J. Lucas: Robust Control of Heat Exchangers in Stratified Storage Systems - Simulation and Experimental Validation. Chemical Engineering Transactions, vol. 76, pp. 781-786, 2019.
J. OravecM. BakošováA. VasičkaninováA. Mészáros: Robust Model Predictive Control of a Plate Heat Exchanger. Chemical Engineering Transactions, vol. 81, pp. 25–30, 2018.
  • Number of citations       6
  • Klemeš, J.J. – Varbanov, P.S. – Ocłoń, P. – Chin, H.H.: Towards efficient and clean process integration: Utilisation of renewable resources and energy-saving technologies. Energies, no. 21, vol. 12, 2019.
  • Walmsley, T.G. – Varbanov, P.S. – Aviso, K. – You, F.: Energy integration and optimisation for sustainable total site, process and equipment design. Energy, no. 115896, vol. 186, 2019.
  • Yuan, L.-K. – Xu, B.-C. – Liang, Z.-S.: Analysis of the informative data of industrial data-based modelling. Chemical Engineering Transactions, vol. 76, pp. 685-690, 2019.
  • Rossi, F. – Mockus, L. – Manenti, F. – Reklaitis, G.: Present and future of model uncertainty quantification in process systems engineering. Chemical Engineering Transactions, vol. 74, pp. 625-630, 2019.
  • Agner, R. – Lucas, E.J. – Olsen, D.G. – Gruber, P. – Wellig, B.: Robust control of heat exchangers in stratified storage systems – Simulation and experimental validation. Chemical Engineering Transactions, vol. 76, pp. 781-786, 2019.
  • Arifuzzaman, S.M. – Uddin Mehedi, Md.F. – Al-Mamun, A. – Biswas, P. – Islam, Md.R. – Khan, Md.S.: Magnetohydrodynamic micropolar fluid flow in presence of nanoparticles through porous plate: A numerical study. International Journal of Heat and Technology, no. 3, vol. 36, pp. 936-948, 2018.
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.
  • Number of citations       29
  • S. A. Al-Samarraie – L. F. Ali: Output Feedback Adaptive Sliding Mode Control Design for a Plate Heat Exchanger. Al-Nahrain Journal for Engineering Sciences, no. 4, vol. 21, pp. 549-555, 2018.
  • Gao, X. – Ma, Q. – Sun, X. – Wang, J. – Li, S.: Research on a Dual-Closed-Loop Temperature Control Method and System Based on Dual Sensors for Infrared Object Simulation. IEEE Sensors Journal, no. 23, vol. 19, pp. 11553-11561, 2019.
  • Z. Dong – X. Huang – Y. Dong – Z. Zhang: Multilayer Perception Based Reinforcement Learning Supervisory Control of Energy Systems with Application to a Nuclear Steam Supply System. Applied Energy, 2019.
  • Fedorova, Kristina – Bakarac, Peter – Kvasnica, Michal: Agile manoeuvres using model predictive control. Acta Chimica Slovaca, no. 1, vol. 12, pp. 136-141, 2019.
  • Bakarac, Peter – Kvasnica, Michal: Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, no. 2, vol. 11, pp. 175-181, 2018.
  • Ławryńczuk, M. – Ocłoń, P.: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, vol. 182, pp. 1028-1044, 2019.
  • Dong, Z. – Li, B. – Huang, X.: Passivity-based control of heat exchanger networks. In Chinese Control Conference, CCC, pp. 6531-6536, 2019.
  • Yang, H. – Zeng, F.: Design of internal model control oriented PID for typical thermal processes in combined cycle unit. In Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019, pp. 764-769, 2019.
  • Knudsen, B.R. – Kauko, H. – Andresen, T.: An optimal-control scheme for coordinated surplus-heat exchange in industry clusters. Energies, no. 10, vol. 12, 2019.
  • Klemeš, J.J. – Varbanov, P.S.: Heat transfer improvement, energy saving, management and pollution reduction. Energy, vol. 162, pp. 267-271, 2018.
  • M. Watanabe – F.S. Rahman – T. Kerdphol – Y. Mitani: Application of PI/PID Control for Virtual Inertia Synthesis, Springer, vol. doi.org/10.1007/978-3-030-57961-6_5, 2021.
  • Shah, D. – Shah, A. – Mehta, A.: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, 2020.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Combined neural networks and predictive control for heat exchanger networks operation [Kombinovanje neuronskih mreža i prediktivne kontrole u radu mreža razmenjivača toplote]. Chemical Industry and Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Vinod, R.: Economic Optimization of Shell and Tube Heat Exchanger using Adaptive Mutation Strategy Jaya Algorithm. In 2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020, pp. 221-226, 2020.
  • Sun, L. – Yang, Z.-H. – Luo, X.-L.: Bypass control for heat exchanger networks based on frequency domain stability analysis [基于频域稳定性分析的换热网络旁路控制]. Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities, no. 1, vol. 34, pp. 171-181, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: COMBINED NEURAL NETWORKS AND PREDICTIVE CONTROL FOR HEAT EXCHANGER NETWORKS OPERATION. Chemical Industry & Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Dong, Zhe – Huang, Xiaojin – Dong, Yujie – Zhang, Zuoyi: Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system. Applied Energy, no. 114193, vol. 259, 2020.
  • Vinod, R.: Economic Optimization of Shell and Tube Heat Exchanger using Adaptive Mutation Strategy Jaya Algorithm. In 2020 6th International Conference on Advanced Computing and Communication Systems (icACCs), pp. 221-226, 2020.
  • Gao, Xu – Ma, Qinglin – Sun, Xiaowei – Wang, Jiake – Li, Shuhang: Research on a Dual-Closed-Loop Temperature Control Method and System Based on Dual Sensors for Infrared Object Simulation. IEEE Sensors Journal, no. 23, vol. 19, pp. 11553-11561, 2019.
  • Lawrynczuk, Maciej – Oclon, Pawel: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, vol. 182, pp. 1028-1044, 2019.
  • Knudsen, Brage Rugstad – Kauko, Hanne – Andresen, Trond: An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters. Energies, no. 10, vol. 12, 2019.
  • Bakarac, Peter – Kvasnica, Michal: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical Papers, no. 3, vol. 73, pp. 611-618, 2019.
  • Klemes, Jiri Jaromir – Varbanov, Petar Sabev: Heat transfer improvement, energy saving, management and pollution reduction. Energy, vol. 162, pp. 267-271, 2018.
  • Çetin, G. – Özkaraca, O. – Keçebaş, A.: Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant. Renewable and Sustainable Energy Reviews, no. 110623, vol. 137, 2021.
  • Bakaráč, P. – Kvasnica, M.: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical Papers, no. 3, vol. 73, pp. 611-618, 2019.
  • Wan, X. – Luo, X.-L.: Economic optimization of chemical processes based on zone predictive control with redundancy variables. Energy, no. 118586, vol. 212, 2020.
  • T. Klopot – P. Skupin – P. Grelewicz – J. Czeczot: Practical PLC-based Implementation of Adaptive Dynamic Matrix Controller for Energy-Efficient Control of Heat Sources. IEEE Transactions on Industrial Electronics, pp. 1-11, 2020.
A. VasičkaninováM. BakošováĽ. ČirkaM. KalúzJ. Oravec: Robust Controller Design for a Laboratory Heat Exchanger. Applied Thermal Engineering, vol. 128, pp. 1297–1309, 2018.
  • Number of citations       11
  • Petar Sabev Varbanov – Xue Xiu Jia – David John Kukulka – Xia Liu – Jiří Jaromír Klemeš: Emission minimisation by improving heat transfer, energy conversion, CO2 integration and effective training. Applied Thermal Engineering, vol. 131, pp. 531–539, 2018.
  • Bartecki, Krzysztof: Rational Transfer Function Model for a Double-Pipe Parallel-Flow Heat Exchanger. Symmetry-basel, no. 8, vol. 12, 2020.
  • M. I. Menhas – W. Peng – L. Wang – Y. Wen – L. Qian: Application of Intelligent Virtual Reference Feedback Tuning to Temperature Control in a Heat Exchanger. Springer, In International Conference on Intelligent Manufacturing and Internet of Things, pp. 311-320, 2018.
  • LiborPekař: Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Chapter: Chapter 12 - Controller design and tuning of a delayed heat exchanger plant in a robust sense. pp. 263-284, 2020.
  • Timchenko D.V. – Burciu V.I. – Juravliov A. A. – Patsiuk V. I. – Sit M. L.: Control of Heat Exchanger with Variable Heat Transfer Surface Area. PROBLEMELE ENERGETICII REGIONALE, no. 39, vol. 1, pp. 90-101, 2019.
  • J. Shen – X. Wu – J. Zhu: Practical Disturbance Rejection Control for Boiler-Turbine Unit with Input Constraints. Applied Thermal Engineering, no. 114184, vol. 161, pp. 1-13, 2019.
  • Bartecki, K.: Rational transfer function model for a double-pipe parallel-flow heat exchanger. Symmetry, no. 8, vol. 12, 2020.
  • Guaily, A. – Azar, A.T. – Sallam, O.K. – Ammar, H.H.: Tuning of PID Controller Using Particle Swarm Optimization for Cross Flow Heat Exchanger Based on CFD System Identification. Advances in Intelligent Systems and Computing, vol. 1058, pp. 300-312, 2020.
  • M. C. de Oliveira – Y. Chen: An Alternative Algorithm to the D-K Iterations for Robust Control Design. IEEE Control Systems Letters, no. 1, vol. 5, pp. 115-120, 2021.
  • Yong Gu – Hao-Zhe Jin – Guo-Fu Ou: Corrosion risk analysis of tube-and-shell heat exchangers and design of outlettemperature control system. Petroleum Science, 2021.
  • Bartecki, Krzysztof: An Approximate Transfer Function Model for a Double-Pipe Counter-Flow Heat Exchanger. Energies, vol. 14, 2021.
  • Number of citations       2
  • V. V. Bukhtoyarov – V. S. Tynchenko – E. A. Petrovskiy – K. A. Bashmur – V. V. Kukartsev – N. A. Bukhtoyarova: Neural Network Controller Identification for Refining Process. Journal of Physics, vol. 1399, pp. 1-5, 2019.
  • Miswar A. Syed – Muhammad Khalid: Neural network predictive control for smoothing of solar power fluctuations with battery energy storage. Journal of Energy Storage, vol. 42, pp. 103014, 2021.
  • Number of citations       2
  • M. Valdes – J. G. Ardila – D. Colorado – L. F. Grisales: Numerical Study of the Effect of Passive Techniques in TubeIn-Tube Helical Heat Exchanger. Chemical Engineering Transactions, vol. 70, pp. 1495-1500, 2018.
  • Valdes, M. – Ardila, J.G. – Colorado, D. – Escobedo-Trujillo, B.A.: Computational model to evaluate the effect of passive techniques in tube-in-tube helical heat exchanger. Energies, no. 10, vol. 12, 2019.
A. VasičkaninováM. BakošováA. Mészáros: Control of a Biochemical Process Using Fuzzy Approach. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 173–178, 2017.
  • Number of citations       4
  • Hou, J. – Cai, Z. – Zhao, J. – Wang, Y. – Liu, N. – Song, Z.: Fuzzy and PSO-based PID controller for a hybrid autogyroattitude control.. In 2017 11th Asian Control Conference (ASCC) Gold Coast Convention Centre, Australia, IEEE, pp. 2160-2165, 2017.
  • Satya Eswari Jujjavarapu – Bikesh Kumar Singh: Design and Development of Affordable Healthcare Technologies, Chapter: Optimization Techniques Applications in Biochemical Engineering and Controlled Drug Delivery: Current Practices and Forthcoming Challenges. IGI Global, edited by Arindam Bit, pp. 180-190, 2018.
  • Satya Eswari Jujjavarapu – Bikesh Kumar Singh: Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, Chapter: Optimization Techniques Applications in Biochemical Engineering and Controlled Drug Delivery: Current Practices and Forthcoming Challenges. edited by Information Resources Management Association, Hershey, PA: IGI Global, pp. 609-619, 2021.
  • Khew, Gabriel – Hussain, Mohd – Abdul Wahab, Ahmad: Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and Storage. Chinese Journal of Chemical Engineering, 2021.
  • Number of citations       8
  • R. Matušů – L. Pekař: Robust stability of thermal control systems with uncertain parameters: The graphical analysis examples. Applied Thermal Engineering, vol. 125, pp. 1157--1163, 2017.
  • Uğur Demiroğlu – Bilal Şenol: Analytical Design of PI Controllers for First Order plus Time Delay Systems. INTERNATIONAL SCIENTIFIC AND VOCATIONAL JOURNAL (ISVOS JOURNAL), no. 2, vol. 2, pp. 40-47, 2018.
  • Sapna Gupta – Rajeev Gupta – Subhransu Padhee: Parametric system identification and robustcontroller design for liquid–liquid heatexchanger system. ET Control Theory Appl., no. 10, vol. 12, pp. 1474-1482, 2018.
  • José Salcedo-Hernández – Raul Rivas-Perez – Javier Sotomayor-Moriano: Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences, no. 5, vol. 10, pp. 1731, 2020.
  • Bilal ŞENOL – Uğur DEMİROĞLU: Proportional-Integral Controller Design for Thermal Systems. Journal of the Institute of Science and Technology, no. 1, vol. 10, pp. 128 - 140, 2020.
  • Radek Matušů – Bilal Şenol – Libor Pekař: Value-Set-Based Approach to Robust Stability Analysis for Ellipsoidal Families of Fractional-Order Polynomials with Complicated Uncertainty Structure. Applied Sciences, no. 24, vol. 9, pp. 5451, 2019.
  • Ahmed Maidi – Jean-Pierre Corriou: Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Chapter: Chapter 17 - PDE control of heat exchangers by input-output linearization approach. pp. 367-386, 2020.
  • Rachid, Aziz – Fadil, Hassan El – Rachid, Kamal – Lassioui, Abdellah – Idrissi, Zakariae El: H-infinity Control of Bidirectional dc-dc Power Converter for V2G BEV Charger. In 2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-6, 2020.
A. VasičkaninováM. BakošováĽ. ČirkaM. Kalúz: Robust Controller Design for a Heat Exchanger. Chemical Engineering Transactions, vol. 52, pp. 247–252, 2016.
  • Number of citations       3
  • Wu Xiao – Huili Ran – Xiaobin Jiang – Xiangcun Li – Gaohong He: Control Schemes of Hybrid Distillation-vapor Permeation Process for Ethylene/Ethane Separations. CHemical engineering transactions, vol. 61, pp. 61-66, 2017.
  • Mehta, A. – Shah, A. – Shah, D.: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, vol. 58, pp. 301-314, 2021.
  • Horváthová, Michaela – Ishihara, Nijihiko – Oravec, Juraj – Chida, Yuichi: Robust Setpoint Tracking of a Linear System with Discrete Actuators. In 2021 23rd International Conference on Process Control (PC), pp. 229-236, 2021.
A. VasičkaninováM. BakošováA. Mészáros: Fuzzy Control of a Distillation Column. Editor(s): Zdravko Kravanja, Miloš Bogataj, In 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, no. 38, vol. 26, pp. 1299–1304, 2016.
  • Number of citations       9
  • Drgona, J. – Takac, Z. – Hornak, M., – Valo, R. – Kvasnica, M.: Fuzzy control of a laboratory binary distillation column. In 21st International Conference on Process Control, PC 2017, pp. 120-125, 2017.
  • Zhiyun Zou – Zhizhen Wang – Lei Meng – Meng Yu – Ning Guo: Modelling and advanced control of a binary batch distillation pilot plant. In DOI: 10.1109/CAC.2017.8243259 Conference: Conference: 2017 Chinese Automation Congress (CAC), 2017.
  • A. Asgari – G. R. Arab Markadeh: Control of a Non-Linear Distillation Column Using Type-2 Fuzzy Method Optimized by Genetic Algorithm. Tabriz Journal of Electrical Engineering, no. 2, vol. 48, 2018.
  • Alawad, N. – Alseady, A.: Fuzzy controller of model reduction distillation column with minimal rules. Applied Computer Science, no. 2, vol. 16, pp. 80-94, 2020.
  • S. Chavan – V. Rathi – N. Birnale: Implementation of fuzzy logic control for FOPDT model of distillation column. In 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India, pp. 1294-1298, 2019.
  • Sheikus, Anton – Kovalenko, Vadym – Kotok, Valerii – Levchuk, Igor – Bilobrova, Olena – Darovskih, Larisa: OPTIMIZATION OF RECTIFICATION PROCESS USING MOBILE CONTROL ACTION WITH ACCOUNT FOR CRITERION OF MAXIMIZING SEPARATION QUALITY. EUREKA: Physics and Engineering, no. 6, 2020.
  • I. Kafiev – P. Romanov – I. Romanova: Fuzzy Logic Based Control System for Automated Guided Vehicle. In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-6, 2020.
  • I. Romanova – P. Romanov – I. Kafiev: Control System of Portal Car Wash based on the Mamdani Fuzzy Algorithm. In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-6, 2020.
  • I. Kafiev – P. Romanov – I. Romanova: Control System of a Robotic Irrigation Machine Based on the Mamdani Fuzzy Algorithm. Journal of Physics: Conference Series, vol. 2096, pp. 012014, 2021.
A. VasičkaninováM. BakošováA. MészárosJ. Oravec: Fuzzy Controller Design for a Heat Exchanger. In Proceedings of IEEE 19th International Conference on Intelligent Engineering Systems, pp. 225–230, 2015.
  • Number of citations       6
  • Vansovits, Vitali – Tepljakov, Aleksei – Vassiljeva, Kristina – Petlenkov, Eduard: Towards an intelligent control system for district heating plants: Design and implementation of a fuzzy logic based control loop. In Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on, pp. 405--410, 2017.
  • Mohanty M.N. – Mohanty M.D.: In: Patnaik S., Ip A., Tavana M., Jain V. (eds) New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1005., Chapter: Design of Fuzzy Logic-Based PID Controller for Heat Exchanger Used in Chemical Industry. Springer, Singapore, pp. 371-379, 2020.
  • Eka Iskandar – Mochammad Rameli – Ali Fatoni – Febry Angga Gunawan: Artificial Neural Network Approach for Parameter Estimation in PI Self Tunning Regulator (PI-STR) method on Process Rig 38-714 Pressure Control. JAREE-Journal on Advanced Research in Electrical Engineering Volume 3, Number 1, April 2019, no. 1, vol. 3, pp. 7-12, 2019.
  • Cristian Herrera Acosta – Hernando González Acevedo: Design of an Advanced Control System for a Bayonet Heat Exchanger. doi 10.1109/ETFA.2019.8869464, In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1481-1484, 2019.
  • Arief, U – Purbawanto, S. – Azhari, A. – Suhono, A. – Prastiyanto, D.: Fuzzy-PID System Control for Tungsten Filament Heater of Thermal Vacuum Evaporation. In roceedings of the 7th Engineering International Conference on Education, Concept and Application on Green Technology (EIC 2018), ISBN: 978-989-758-411-4, pp. 388-392, 2018.
  • J. G. Álvarez – J. M. Armero – C. A. Urrutia: Temperature control in shell-tube heat exchangers: a review of the industry. Entre Ciencia e Ingeniería, no. 27, vol. 14, pp. 41-49, 2020.
A. MészárosĽ. ČirkaM. BakošováA. Vasičkaninová: On Stability and Controllability of Processes with Internal Recycle. Professor Dr Jiří Klemeš: Celebration of the Jubilee in Science and Engineering, Chemical Engineering Transactions, no. 45, pp. 1735–1740, 2015.
  • Number of citations       1
  • Varbanov, Petar Sabev – Lam, Hon Loong – Nemet, Andreja: Professor Dr Jiri Jaromir Klemes: Celebration of the Jubilee in Science and Engineering. In Pres15: Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, pp. 1717-1722, 2015.
A. VasičkaninováM. Bakošová: Fuzzy Model-based Neural Network Predictive Control of a Heat Exchanger. Chemical Engineering Transactions, vol. 45, pp. 313–318, 2015.
  • Number of citations       4
  • Paul, R. – Chokkadi, S.: Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process. Industrial and Engineering Chemistry Research, no. 19, vol. 55, pp. 5644-5653, 2016.
  • Sun, L. – Zha, X.-L. – Luo, X.-L.: Coordination of bypass control and economic optimisation for heat exchanger network with stream splits. Chemical Engineering Transactions, vol. 61, pp. 187-192, 2017.
  • Lin Sun – Xinlang Zha – Xionglin Luo: Coordination between bypass control and economic optimization for heat exchanger network. Energy, vol. 160, pp. 318-329, 2018.
  • K. Kaleeswari – T. Johnson – C. Vijayalakshmi: ANALYSIS OF FUZZY LOGIC BASED CONTROL MODEL FOR WATER TREATMENT PLANT IN INDIAN SCENARIO. ARPN Journal of Engineering and Applied Sciences, no. 5, vol. 13, pp. 1780-1785, 2018.
A. VasičkaninováM. BakošováĽ. ČirkaM. Kalúz: Comparison of Robust Control Techniques for Use in Continuous Stirred Tank Reactor Control. Editor(s): Fikar, M., In Proceedings of the 8th IFAC Symposium on Robust Control Design, Elsevier, Bratislava, Slovak Republic, no. 8, pp. 284–289, 2015.
  • Number of citations       6
  • Matušů, R.: ROBUST STABILIZATION OF A CONTINUOUS STIRRED TANK REACTORMODEL.. Annals of DAAAM & Proceedings, vol. 27, pp. 147-150, 2016.
  • Eleftherios Vlahakis – George Halikias: Temperature and concentration control of exothermic chemical processes in continuous stirred tank reactors. Transactions of the Institute of Measurement and Control, pp. 1-11, 2019.
  • Radek Matusu: Robust Stabilization of a Continuous Stirred tank Reactor Model. Annals of DAAAM & Proceedings Publisher: DAAAM International Vienna, pp. 147, 2017.
  • M. Kissai – B. Monsuez – D. Martinez – X. Mouton – A. Tapus: Robust Control for Over-Actuated Vehicles. In 2019 IEEE Conference on Control Technology and Applications (CCTA), pp. 822-829, 2019.
  • Ehsan Shakeri – Gholamreza Latif-Shabgahi – Amir Esmaeili Abharian: Design of an intelligent stochastic model predictive controller for a continuous stirred tank reactor through a Fokker-Planck observer. Transactions of the Institute ofMeasurement and Control, no. 10, vol. 40, pp. 3010-3022, 2018.
  • L. Pekař – B. Şenol – R. Matušů: Robust PI Control of Interval Plants With Gain and Phase Margin Specifications: Application to a Continuous Stirred Tank Reactor. IEEE Access, vol. 8, pp. 145372-145380, 2020.
A. VasičkaninováM. Bakošová: Robust Controller Design for a Heat Exchanger. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 113–118, 2015.
  • Number of citations       10
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