Institute of Information Engineering, Automation, and Mathematics

doc. Ing. MSc. Martin Klaučo, PhD.

Position:
Deputy of institute for research
Head of department
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 663
eMail:
Home page:
https://www.uiam.sk/~klauco
Phone:
+421 259 325 345
Skype:
m.klauco
ORCID iD:
0000-0003-0098-2625
WoS ResearcherID:
G-3973-2015
Google Scholar:
wVXDzr8AAAAJ
Availability:

Publications

Book

  1. M. Fikar – M. Klaučo – R. Paulen: Theory of Automatic Control I. Practice Examples, FCHPT STU v Bratislave, 2022.
  2. M. Klaučo: Introduction to process control (in Slovak), Slovenská chemická knižnica, Radlinského 9, 812 37 Bratislava, 2022.
  3. M. Klaučo – M. Kvasnica: MPC-Based Reference Governors, Editor(s): M. J. Grimble, A. Ferrara, Springer, 2019.

Article in journal

  1. D. Efremov – T. Haniš – M. Klaučo: Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm. IEEE Transactions on Intelligent Transportation Systems, pp. 1–13, 2024.
  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. J. Drgoňa – K. Kiš – A. Tuor – D. Vrabie – M. Klaučo: Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems. Journal of Process Control, vol. 116, pp. 80–92, 2022.
  4. J. Oravec – M. Klaučo: Real-time tunable approximated explicit MPC. Automatica, vol. 142, pp. 110315, 2022.
  5. M. Furka – M. Klaučo – M. Kvasnica: Stabilization of Furuta Pendulum using Nonlinear MPC. Research Papers Faculty of Materials Science and Technology in Trnava, no. 45, vol. 27, pp. 42–48, 2019.
  6. K. Kiš – M. Klaučo: Neural network based explicit MPC for chemical reactor control. Acta Chimica Slovaca, no. 2, vol. 12, pp. 218–223, 2019.
  7. M. Klaučo – M. Kalúz – M. 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.
  8. M. Kvasnica – P. Bakaráč – M. Klaučo: Complexity reduction in explicit MPC: A reachability approach. Systems & Control Letters, vol. 124, pp. 19–26, 2019.
  9. J. Holaza – M. Klaučo – J. Drgoňa – J. Oravec – M. Kvasnica – M. Fikar: MPC-Based Reference Governor Control of a Continuous Stirred-Tank Reactor. Computers & Chemical Engineering, vol. 165, pp. 289–299, 2018.
  10. M. Klaučo – Ľ. Čirka – J. Kukla: Non-linear model predictive control of conically shaped liquid storage tanks. Acta Chimica Slovaca, no. 2, vol. 11, pp. 141–146, 2018.
  11. 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.
  12. M. Klaučo – M. Kalúz – M. 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.
  13. M. Klaučo – M. Kvasnica: Control of a boiler-turbine unit using MPC-based reference governors. Applied Thermal Engineering, vol. 110, pp. 1437–1447, 2017.
  14. M. Klaučo – R. 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.
  15. J. Oravec – M. Klaučo – M. 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.
  16. 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.

Article in conference proceedings

  1. M. Fikar – K. Kiš – M. Klaučo – M. Mönnigmann: Simple Tuning of Arbitrary Controllers using Governors. In IFAC World Congress 2023, Yokohama, Japan, pp. 9109–9114, 2023.     Zenodo
  2. M. Furka – J. Holaza – M. Klaučo: Towards Fully Homomorphic Explicit Model Predictive Control via Polynomial Approximation. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, 2023.
  3. M. Horváthová – L. Galčíková – M. Klaučo – J. Oravec: Real-Time Optimisation-Based Robust Control: Heat Exchanger Comparative Analysis. In 62nd IEEE Conference on Decision and Control, IEEE, Singapore, pp. 6535–6540, 2023.
  4. K. Kiš – M. Klaučo: Nearly-optimal Explicit MPC-based Reference Governors with Long Prediction Horizons Generated with Machine Learning. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, 2023.
  5. P. Valábek – M. Klaučo: Generation of MPC-like Explicit Control Laws with Reinforcement Machine Learning. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, 2023.
  6. D. Efremov – M. Klaučo – T. Haniš: Driving Envelope: On Vehicle Stability Through Tire Capacities. In IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE, pp. 1188–1193, 2022.
  7. M. Furka – K. Kiš – M. Klaučo: Control of a Chemical Reactor with High Precision Encryption Framework. In 2022 Cybernetics & Informatics (K&I), pp. 1–6, 2022.
  8. K. Kiš – P. Bakaráč – M. Klaučo: Nearly Optimal Tunable MPC Strategies on Embedded Platforms. In 18th IFAC Workshop on Control Applications of Optimization, IFAC-PapersOnline, pp. 326–331, 2022.
  9. D. Efremov – T. Haniš – M. Klaučo: Haptic Driver Guidance for Lateral Driving Envelope Protection Using Model Predictive Control. In IEEE Intelligent Vehicles Symposium, IEEE Xplore, Las Vegas, NV, USA, USA, 2021.
  10. M. Furka – K. Kiš – P. Bakaráč – M. Klaučo: Nonlinear MPC Policy for Systems with Data Driven Identification. In Proceedings of the 7th IFAC Conference on Nonlinear Model Predictive Control, IFAC-PapersOnline, no. 54, 2021.
  11. M. Furka – K. Kiš – M. Klaučo – M. Kvasnica: Usage of Homomorphic Encryption Algorithms in Process Control. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 23rd International Conference on Process Control, IEEE, Slovak University of Technology, pp. 43–48, 2021.
  12. K. Kiš – M. Klaučo – M. Kvasnica: Explicit MPC in the form of Sparse Neural Networks. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 23rd International Conference on Process Control, IEEE, Slovak University of Technology, pp. 163–168, 2021.
  13. D. Efremov – M. Klaučo – T. Haniš – M. Hromčík: Driving Envelope Definition and Envelope Protection Using Model Predictive Control. In Proceedings of the American Control Conference, Denver, Colorado, USA, 2020.
  14. K. Kiš – M. Klaučo – A. Mészáros: Neural Network Controllers in Chemical Technologies. In 2020 IEEE 15th International Conference of System of Systems Engineering, IEEE, pp. 397–402, 2020.
  15. Y. Lohr – M. Klaučo – M. Fikar – M. Mönnigmann: Machine Learning Assisted Solutions of Mixed Integer MPC on Embedded Platforms. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, 2020.
  16. A. Schirrer – T. Haniš – M. Klaučo – S. Thormann – M. Hromčík – S. Jakubek: Safety-extended Explicit MPC for Autonomous Truck Platooning on Varying Road Conditions. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, 2020.
  17. 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.
  18. M. Kalúz – M. Klaučo – Ľ. Čirka – M. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. In 12th IFAC Symposium Advances in Control Education, pp. 159–164, 2019.
  19. K. Kiš – M. Klaučo: Neural Networks Trained as Explicit Tunable MPC Feedback Controllers. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  20. M. Klaučo – M. Kvasnica: Parametric Optimization with the MPT Toolbox and its Applications in Optimal Control. In 30th European Conference on Operational Research, Dublin, vol. 30, 2019.
  21. Y. Lohr – M. Klaučo – M. 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.
  22. P. Bakaráč – J. Holaza – M. Klaučo – M. Kalúz – J. Löfberg – M. Kvasnica: Explicit MPC based on Approximate Dynamic Programming. In European Control Conference 2018, Limassol, Cyprus, pp. 1172–1177, 2018.
  23. P. Bakaráč – M. Klaučo – M. 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.
  24. M. Klaučo – M. 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.
  25. J. Holaza – M. Klaučo – M. Kvasnica: Solution Techniques for Multi-Layer MPC-Based Control Strategies. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, 2017.
  26. J. Holaza – R. Valo – M. 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.
  27. D. Ingole – J. Drgoňa – M. Kalúz – M. Klaučo – M. Bakošová – M. 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.
  28. F. Janeček – M. Klaučo – M. Kalúz – M. 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.
  29. F. Janeček – M. Klaučo – M. 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.
  30. J. Drgoňa – F. Janeček – M. Klaučo – M. Kvasnica: Regionless Explicit MPC of a Distillation Column. In European Control Conference 2016, Aalborg, Denmark, pp. 1568–1573, 2016.
  31. D. Ingole – J. Drgoňa – M. Kalúz – M. Klaučo – M. Bakošová – M. Kvasnica: Explicit Model Predictive Control of a Fuel Cell. In The European Conference on Computational Optimization, Leuven, Belgium, vol. 4, 2016.
  32. M. Jelemenský – M. Klaučo – R. 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. In 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, vol. 11, pp. 242–247, 2016.
  33. J. Drgoňa – M. Klaučo – M. Kvasnica: MPC-Based Reference Governors for Thermostatically Controlled Residential Buildings. In 54th IEEE Conference on Decision and Control, Osaka, Japan, vol. 54, 2015.
  34. J. Drgoňa – M. Klaučo – R. Valo – J. Bendžala – M. Fikar: Model Identification and Predictive Control of a Laboratory Binary Distillation Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2015.
  35. M. Kalúz – M. Klaučo – M. Kvasnica: Real-Time Implementation of a Reference Governor on the Arduino Microcontroller. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 350–356, 2015.
  36. M. Nehéz – D. Bernát – M. Klaučo: Comparison of Algorithms for Near-Optimal Dominating Sets Computation in Real-World Networks. Editor(s): B. Rachev, A. Smrikarov, In Proceedings of the 16th International Conference on Computer Systems and Technologies, Association for Computing Machinery (ACM), Dublin, Ireland, pp. 199–206, 2015.
  37. J. Oravec – M. Klaučo – M. Kvasnica – J. Löfberg: Optimal Vehicle Routing with Interception of Targets’ Neighbourhoods. In European Control Conference 2015, Linz, Austria, pp. 2538–2543, 2015.
  38. M. Klaučo – S. Blažek – M. Kvasnica – M. Fikar: Mixed-Integer SOCP Formulation of the Path Planning Problem for Heterogeneous Multi-Vehicle Systems. In European Control Conference 2014, Strasbourg, France, pp. 1474–1479, 2014.
  39. M. Klaučo – J. Drgoňa – M. Kvasnica – S. Di Cairano: Building Temperature Control by Simple MPC-like Feedback Laws Learned from Closed-Loop Data. In Preprints of the 19th IFAC World Congress Cape Town (South Africa) August 24 - August 29, 2014, pp. 581–586, 2014.
  40. M. Klaučo – M. Jelemenský – R. Valo – M. Fikar: Identification and Control of a Laboratory Distillation Column. Editor(s): J. Cigánek, Š. Kozák, A. Kozáková, D. Rosinová, In Medzinárodná konferencia Kybernetika a Informatika '14, Nakladateľstvo STU v Bratislave, Oščadnica, vol. 27, 2014.
  41. M. Klaučo – M. Kvasnica: Explicit MPC Approach to PMV-Based Thermal Comfort Control. In 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, vol. 53, pp. 4856–4861, 2014.
  42. J. Drgoňa – M. Kvasnica – M. Klaučo – M. Fikar: Explicit Stochastic MPC Approach to Building Temperature Control. In IEEE Conference on Decision and Control, Florence, Italy, pp. 6440–6445, 2013.
  43. M. Klaučo – N. K. Poulsen – M. Mirzaei – N. Ishihara: Frequency Weighted Model Predictive Control of Wind Turbine. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 347–352, 2013.
  44. M. Klaučo – M. Kvasnica: Modeling of Networked Systems in Simulink. Editor(s): Ivan Taufer, Daniel Honc, Milan Javurek, In Proceedings of the 10th International Scientific - Technical Conference Process Control 2012, University of Pardubice, Kouty nad Desnou, Czech Republic, 2012.

Trademarks, utility models and patents

  1. P. Bakaráč – M. Klaučo – J. Oravec – M. Furka: Microcontroller platform with embedded dynamic process (in Slovak). 2020.
  2. P. Bakaráč – M. Klaučo – J. Oravec: Electronic Sensoric Board (in Slovak). 2019.

Phd's thesis

  1. M. Klaučo: MPC-based Reference Governors: Theory and Applications. ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2017.

Master's thesis

  1. M. Klaučo: MPC-Based Reference Governors. Master's thesis, ÚIAM FCHPT STU v Bratislave., Radlinského 9, 812 37 Bratislava, 2013.

Bachelor's thesis

  1. M. Klaučo: Development of GUI for Synthesis of Robust PI Controllers (in Slovak). Bachelor's thesis, ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2010.

Technical manual

  1. M. Klaučo: Modeling of the Closed-loop System with a Set of PID controllers. Radlinského 9, 812 37 Bratislava, 2016.

Miscellaneous

  1. M. Fikar – M. Klaučo – K. Kiš: A General Controller Tuning using Governors. 2022.

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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