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2020 – today
- 2024
[j8]Denis Efremov
, Tomás Hanis, Martin Klauco:
Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm. IEEE Trans. Intell. Transp. Syst. 25(9): 11304-11316 (2024)- 2023
- [j7]Matus Furka, Martin Kalúz, Miroslav Fikar, Martin Klauco:
Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control. IEEE Access 11: 110328-110341 (2023) - [c13]Michaela Horváthová, Lenka Galcíková, Martin Klauco, Juraj Oravec:
Real-Time Optimisation-Based Robust Control: Heat Exchanger Comparative Analysis. CDC 2023: 6541-6546 - 2022
- [j6]Juraj Oravec, Martin Klauco:
Real-time tunable approximated explicit MPC. Autom. 142: 110315 (2022) - [c12]Denis Efremov, Martin Klauco, Tomás Hanis:
Driving Envelope: On Vehicle Stability Through Tire Capacities. IV 2022: 1188-1193 - 2020
- [c11]Denis Efremov, Martin Klauco, Tomás Hanis, Martin Hromcík:
Driving Envelope Definition and Envelope Protection Using Model Predictive Control. ACC 2020: 4875-4880 - [c10]Denis Efremov, Tomás Hanis, Martin Klauco:
Haptic Driver Guidance for Lateral Driving Envelope Protection Using Model Predictive Control. IV 2020: 1992-1997 - [c9]Karol Kis, Martin Klauco, Alajos Mészáros:
Neural Network Controllers in Chemical Technologies. SoSE 2020: 397-402 - [i3]Ján Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco:
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. CoRR abs/2011.03699 (2020)
2010 – 2019
- 2019
- [j5]Martin Klauco, Martin Kalúz, Michal Kvasnica:
Machine learning-based warm starting of active set methods in embedded model predictive control. Eng. Appl. Artif. Intell. 77: 1-8 (2019) - [j4]Michal Kvasnica, Peter Bakarác, Martin Klauco:
Complexity reduction in explicit MPC: A reachability approach. Syst. Control. Lett. 124: 19-26 (2019) - [i2]Karol Kis, Martin Klauco:
Neural Network Based Explicit MPC for Chemical Reactor Control. CoRR abs/1912.04684 (2019) - 2018
- [j3]Juraj Holaza, Martin Klauco, Ján Drgona, Juraj Oravec, Michal Kvasnica, Miroslav Fikar:
MPC-based reference governor control of a continuous stirred-tank reactor. Comput. Chem. Eng. 108: 289-299 (2018) - [c8]Peter Bakarác, Juraj Holaza, Martin Kalúz, Martin Klauco, Johan Löfberg, Michal Kvasnica:
Explicit MPC based on Approximate Dynamic Programming. ECC 2018: 1172-1177 - [i1]Martin Klauco, Lubos Cirka:
Non-linear Model Predictive Control of Conically Shaped Liquid Storage Tanks. CoRR abs/1810.01119 (2018) - 2017
- [j2]Ján Drgona, Martin Klauco, Filip Janecek, Michal Kvasnica:
Optimal control of a laboratory binary distillation column via regionless explicit MPC. Comput. Chem. Eng. 96: 139-148 (2017) - 2016
- [j1]Martin Klauco, Slavomir Blazek, Michal Kvasnica:
An optimal path planning problem for heterogeneous multi-vehicle systems. Int. J. Appl. Math. Comput. Sci. 26(2): 297-308 (2016) - [c7]Ján Drgona, Filip Janecek, Martin Klauco, Michal Kvasnica:
Regionless explicit MPC of a distillation column. ECC 2016: 1568-1573 - 2015
- [c6]Ján Drgona, Martin Klauco, Michal Kvasnica:
MPC-based reference governors for thermostatically controlled residential buildings. CDC 2015: 1334-1339 - [c5]Martin Nehéz, Dusan Bernát, Martin Klauco:
Comparison of algorithms for near-optimal dominating sets computation in real-world networks. CompSysTech 2015: 199-206 - [c4]Juraj Oravec, Martin Klauco, Michal Kvasnica, Johan Löfberg:
Optimal vehicle routing with interception of targets' neighbourhoods. ECC 2015: 2533-2538 - 2014
- [c3]Martin Klauco, Michal Kvasnica:
Explicit MPC approach to PMV-based thermal comfort control. CDC 2014: 4856-4861 - [c2]Martin Klauco, Slavomir Blazek, Michal Kvasnica, Miroslav Fikar:
Mixed-integer SOCP formulation of the path planning problem for heterogeneous multi-vehicle systems. ECC 2014: 1474-1479 - 2013
- [c1]Ján Drgona, Michal Kvasnica, Martin Klauco, Miroslav Fikar:
Explicit stochastic MPC approach to building temperature control. CDC 2013: 6440-6445
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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