5 papers
Safety and Security: Experimental Validation of Encrypted Model Predictive Control
Juraj Holaza, Martin Kalúz, Matúš Furka +2
In this paper, we revisit the problem of an encrypted model predictive control (MPC) design, representing a significant challenge in the recent field of secure process control. Exi…
Star-Tracker-Constrained Attitude MPC for CubeSats
Dominik BeÅo, Patrik Valábek, Martin HromÄÃk +1
This paper presents an online linear model predictive control (MPC) framework for slew maneuvers that maintains star-tracker availability during ground-target tracking. The nonline…
DeePC vs. Koopman MPC for Pasteurization: A Comparative Study
Branislav Daráš, Patrik Valábek, Martin KlauÄo
Data-driven predictive control methods can provide the constraint handling and optimization of model predictive control (MPC) without first-principles models. Two such methods diff…
Deep Dictionary-Free Method for Identifying Linear Model of Nonlinear System with Input Delay
Patrik Valábek, Marek Wadinger, Michal Kvasnica +1
Nonlinear dynamical systems with input delays pose significant challenges for prediction, estimation, and control due to their inherent complexity and the impact of delays on syste…
Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit
Patrik Valábek, Michaela Horváthová, Martin KlauÄo
This paper presents a deep Koopman-based Economic Model Predictive Control (EMPC) for efficient operation of a laboratory-scale pasteurization unit (PU). The method uses Koopman op…