Institute of Information Engineering, Automation, and Mathematics

prof. Ing. Miroslav Fikar, DrSc.

Position:
Head of institute
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 677
eMail:
Home page:
https://www.uiam.sk/~fikar
Phone:
+421 259 325 367, +421 918 674 354
Skype:
miroslav.fikar
ORCID iD:
0000-0003-0042-4607
WoS ResearcherID:
K-7071-2012
Google Scholar:
OwXAwkkAAAAJ
Availability:

Selected publications

Book

  1. J. Mikleš – Ľ. Čirka – J. Oravec – M. Fikar: Design of H2 and Hinf control using Lyapunov functions (in Slovak), FCHPT STU v Bratislave, 2022.
  2. R. Paulen – M. Fikar: Optimal Operation of Batch Membrane Processes, Springer, 2016.
  3. M. Bakošová – M. Fikar: Process Control (in Slovak), Vydavateľstvo STU, Bratislava, 2008.
  4. M. Fikar: Dynamic optimisation of Processes (in Slovak), STU v Bratislave a Slovenská e-akadémia, n. o., 2007.
  5. J. Mikleš – M. Fikar: Process Modelling, Identification, and Control, Springer Verlag, Berlin Heidelberg, 2007.

Chapter or pages in book

  1. M. Herceg – M. Kvasnica – M. Fikar: Parametric Approach to Nonlinear Model Predictive Control, In Nonlinear Model Predictive Control, Editor(s): Magni, L. and Raimondo, D. M. and Allgoewer, F., Springer Berlin / Heidelberg, pp. 381–389, 2009.
  2. M. Fikar: Decoupling Control. Part 6.43: Control Systems, Robotics and Automation, In Encyclopedia of Life Support Systems (EOLSS), Editor(s): H. Unbehauen, EOLSS Publishers, Oxford, UK, 2004.

Article in journal

  1. A. Ahmad – R. Paulen – R. Valo – M. Fikar – S. Engell: Iterative real-time optimization of a membrane pilot plant (in Anglo-Saxon). Control Engineering Practice, vol. 147, pp. 105907, 2024.   Zenodo
  2. M. Furka – M. Kalúz – M. Fikar – M. Klaučo: Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control. IEEE ACCESS, 2023.   Zenodo
  3. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, 2023.   arXiv   Zenodo
  4. A. R. Gottu Mukkula – M. Mateáš – M. Fikar – R. Paulen: Robust multi-stage model-based design of optimal experiments for nonlinear estimation. Computers & Chemical Engineering, vol. 155, pp. 107499, 2021.   arXiv
  5. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based design of inferential sensors for petrochemical industry. Computers & Chemical Engineering, vol. 153, pp. 107437, 2021.   arXiv
  6. R. Paulen – M. 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.
  7. R. Paulen – M. 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.
  8. A. Sharma – R. Valo – M. Kalúz – R. Paulen – M. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, vol. 76, pp. 155–164, 2019.
  9. J. Števek – M. Kvasnica – M. 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.
  10. A. Sharma – M. Jelemenský – R. Paulen – M. Fikar: Modeling and optimal operation of batch closed-loop diafiltration processes. Chemical Engineering Research and Design, vol. 122, pp. 198–210, 2017.
  11. M. Jelemenský – A. Sharma – R. Paulen – M. Fikar: Time-optimal control of diafiltration processes in the presence of membrane fouling. Computers & Chemical Engineering, vol. 91, pp. 343–351, 2016.
  12. M. Honek – M. Kvasnica – A. Szűcs – P. Šimončič – M. Fikar – B. Rohaľ-Ilkiv: A low-complexity explicit MPC controller for AFR control. Control Engineering Practice, no. 60, pp. 118–127, 2015.
  13. M. Jelemenský – R. Paulen – M. Fikar – Z. Kovacs: Time-Optimal Operation of Multi-Component Batch Diafiltration. Computers & Chemical Engineering, vol. 83, pp. 131–138, 2015.
  14. M. Kalúz – J. García-Zubía – M. Fikar – Ľ. Čirka: A Flexible and Configurable Architecture for Automatic Control Remote Laboratories. IEEE Transactions on Learning Technologies, no. 3, vol. 8, pp. 299–310, 2015.
  15. R. Paulen – M. Jelemenský – Z. Kovacs – M. Fikar: Economically optimal batch diafiltration via analytical multi-objective optimal control. Journal of Process Control, vol. 28, pp. 73–82, 2015.
  16. 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, vol. 66, pp. 233–243, 2014.
  17. M. Kvasnica – J. Hledík – I. Rauová – M. Fikar: Complexity reduction of explicit model predictive control via separation. Automatica, no. 6, vol. 49, pp. 1776–1781, 2013.
  18. 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, vol. 444, pp. 87–95, 2013.
  19. M. Podmajerský – M. Fikar – B. Chachuat: Measurement-based optimization of batch and repetitive processes using an integrated two-layer architecture. Journal of Process Control, no. 7, vol. 23, pp. 943–955, 2013.
  20. M. Kvasnica – M. Fikar: Clipping-Based Complexity Reduction in Explicit MPC. IEEE Transactions on Automatic Control, no. 7, vol. 57, pp. 1878–1883, 2012.
  21. R. Paulen – M. Fikar – G. Foley – Z. Kovacs – P. Czermak: Optimal feeding strategy of diafiltration buffer in batch membrane processes. Journal of Membrane Science, vol. 411-412, pp. 160–172, 2012.
  22. M. Kvasnica – J. Löfberg – M. Fikar: Stabilizing polynomial approximation of explicit MPC. Automatica, no. 10, vol. 47, pp. 2292–2297, 2011.
  23. R. Paulen – M. Fikar – Z. Kovacs – P. Czermak: Process optimization of diafiltration with time-dependent water adding for albumin production. Chemical Engineering and Processing: Process Intensification, no. 8, vol. 50, pp. 815–821, 2011.
  24. 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, no. 1-2, vol. 380, pp. 148–154, 2011.
  25. M. Fikar – Z. Kovacs – P. Czermak: Dynamic Optimization of Batch Diafiltration Processes. Journal of Membrane Science, no. 1-2, vol. 355, pp. 168–174, 2010.
  26. M. Kvasnica – M. Herceg – Ľ. Čirka – M. Fikar: Model predictive control of a CSTR: A hybrid modeling approach. Chemical papers, no. 3, vol. 64, pp. 301–309, 2010.
  27. M. Čižniar – M. Podmajerský – T. Hirmajer – M. Fikar – M. A. Latifi: Global optimization for parameter estimation of differential-algebraic systems. Chemical Papers, no. 3, vol. 63, pp. 274–283, 2009.
  28. M. Herceg – M. Kvasnica – M. Fikar: Minimum-time predictive control of a servo engine with deadzone. Control Engineering Practice, no. 60, pp. 1349–1357, 2009.
  29. T. Hirmajer – M. Fikar: Optimal Control of a Two-Stage Reactor System. Chemical Papers, no. 5, vol. 60, pp. 381–387, 2006.
  30. M. Fikar – B. Chachuat – M. A. Latifi: Optimal Operation of Alternating Activated Sludge Processes. Control Engineering Practice, no. 7, vol. 13, pp. 853–861, 2005.
  31. U. Halldorsson – M. Fikar – H. Unbehauen: Nonlinear predictive control with multirate optimisation step lengths. IEE Proceedings - Control Theory and Applications, no. 3, vol. 152, pp. 273–285, 2005.
  32. M. Fikar – H. Unbehauen: Youla-Kučera design of decoupled control systems. International Journal of Control, no. 3, vol. 75, pp. 213–218, 2002.
  33. A. Rusnák – M. Fikar – M. A. Latifi – A. Mészáros: Receding Horizon Iterative Dynamic Programming with Discrete Time Models. Computers & Chemical Engineering, no. 1, vol. 25, pp. 161–167, 2001.
  34. M. Fikar – V. Kučera: On minimum finite length control problem. International Journal of Control, no. 2, vol. 73, pp. 152–158, 2000.
  35. M. Fikar – M. A. Latifi – J. Corriou – Y. Creff: CVP-Based Optimal Control of an Industrial Depropanizer Column. Computers & Chemical Engineering, vol. 24, pp. 909–915, 2000.
  36. M. Fikar – S. Engell – P. Dostál: Design of Predictive LQ Controller. Kybernetika, no. 4, vol. 35, pp. 459–472, 1999.
  37. M. Fikar – M. A. Latifi – Y. Creff: Optimal Changeover Profiles for an Industrial Depropanizer. Chemical Engineering Science, no. 13-14, vol. 53, pp. 2715–2720, 1999.
  38. M. Fikar – M. A. Latifi – F. Fournier – Y. Creff: Application of Iterative Dynamic Programming to Optimal Control of a Distillation Column. Canadian Journal of Chemical Engineering, no. 12, vol. 76, pp. 110–117, 1998.
  39. M. Fikar – M. A. Latifi – F. Fournier – Y. Creff: CVP versus IDP in Dynamic Optimisation of a Distillation Column. Computers & Chemical Engineering, no. S, vol. 22, pp. 625–628, 1998.
  40. F. Fournier – M. Fikar – M. A. Latifi: Control Vector Parametrization in Optimal Control of a Batch Electrochemical Reactor. Chemical & Biochemical Engineering Quarterly, vol. 12, pp. 81–85, 1998.
  41. M. Fikar – S. Engell: Receding horizon predictive control based upon Youla-Kucera parametrisation. European Journal of Control, no. 4, vol. 3, pp. 304–316, 1997.
  42. K. Najim – A. Rusnák – A. Mészáros – M. Fikar: Constrained Long-Range Predictive Control Based on Artificial Neural Networks. International Journal of Systems Science, no. 12, vol. 28, pp. 1211–1226, 1997.
  43. A. Rusnák – M. Fikar – K. Najim – A. Mészáros: Generalized Predictive Control Based on Neural Networks. Neural Processing Letters, no. 2, vol. 4, pp. 107–112, 1996.

Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.

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