| Real-time implementation of an explicit MPC-based reference governor for control of a magnetic levitation system M Klaučo, M Kaluz, M Kvasnica Control Engineering Practice 60, 99-105, 2017 | 63 | 2017 |
| Machine learning-based warm starting of active set methods in embedded model predictive control M Klaučo, M Kalúz, M Kvasnica Engineering Applications of Artificial Intelligence 77, 1-8, 2019 | 62 | 2019 |
| Control of a boiler-turbine unit using MPC-based reference governors M Klaučo, M Kvasnica Applied Thermal Engineering 110, 1437-1447, 2017 | 53 | 2017 |
| Optimal control of a laboratory binary distillation column via regionless explicit MPC J Drgoňa, M Klaučo, F Janeček, M Kvasnica Computers & Chemical Engineering 96, 139-148, 2017 | 38 | 2017 |
| Explicit stochastic MPC approach to building temperature control J Drgoňa, M Kvasnica, M Klaučo, M Fikar 52nd IEEE conference on decision and control, 6440-6445, 2013 | 34 | 2013 |
| Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo Journal of Process Control 116, 80-92, 2022 | 32 | 2022 |
| MPC-based reference governor control of a continuous stirred-tank reactor J Holaza, M Klaučo, J Drgoňa, J Oravec, M Kvasnica, M Fikar Computers & Chemical Engineering 108, 289-299, 2018 | 30 | 2018 |
| Comparison of Inverted Pendulum Stabilization with PID, LQ, and MPC Control P Bakarác, M Klauco, M Fikar | 30 | 2018 |
| Explicit MPC approach to PMV-based thermal comfort control M Klaučo, M Kvasnica 53rd IEEE conference on decision and control, 4856-4861, 2014 | 30 | 2014 |
| Complexity reduction in explicit MPC: A reachability approach M Kvasnica, P Bakaráč, M Klaučo Systems & Control Letters 124, 19-26, 2019 | 29 | 2019 |
| Building temperature control by simple mpc-like feedback laws learned from closed-loop data M Klaučo, J Drgoňa, M Kvasnica, S Di Cairano IFAC Proceedings Volumes 47 (3), 581-586, 2014 | 26 | 2014 |
| MPC-Based Reference Governors M Klaučo, M Kvasnica Springer International Publishing, 2019 | 22 | 2019 |
| Neural network based explicit MPC for chemical reactor control K Kiš, M Klaučo Acta Chimica Slovaca 12 (2), 218-223, 2019 | 21 | 2019 |
| Flexy2: A portable laboratory device for control engineering education M Kaluz, M Klaučo, L Čirka, M Fikar IFAC-PapersOnLine 52 (9), 42-47, 2019 | 17 | 2019 |
| Mixed-integer SOCP formulation of the path planning problem for heterogeneous multi-vehicle systems M Klaučo, S Blažek, M Kvasnica, M Fikar 2014 European Control Conference (ECC), 1474-1479, 2014 | 17 | 2014 |
| Explicit MPC based on approximate dynamic programming P Bakaráč, J Holaza, M Kalúz, M Klaučo, J Löfberg, M Kvasnica 2018 European control conference (ECC), 1172-1177, 2018 | 16 | 2018 |
| OPTIPLAN: A Matlab toolbox for model predictive control with obstacle avoidance F Janeček, M Klaučo, M Kalúz, M Kvasnica IFAC-PapersOnLine 50 (1), 531-536, 2017 | 16 | 2017 |
| MPC-based reference governors for thermostatically controlled residential buildings J Drgoňa, M Klaučo, M Kvasnica 2015 54th IEEE Conference on Decision and Control (CDC), 1334-1339, 2015 | 16 | 2015 |
| Machine learning assisted solutions of mixed integer mpc on embedded platforms Y Löhr, M Klaučo, M Fikar, M Mönnigmann IFAC-PapersOnLine 53 (2), 5195-5200, 2020 | 15 | 2020 |
| An optimal path planning problem for heterogeneous multi-vehicle systems M Klaučo, S Blažek, M Kvasnica International Journal of Applied Mathematics and Computer Science 26 (2 …, 2016 | 14 | 2016 |
Michal KvasnicaFull Professor at Slovak University of Technology in BratislavaDirección de correo verificada de stuba.sk
