Explicit stochastic MPC approach to building temperature control. - Ján Drgona; Michal Kvasnica; Martin Klauco; Miroslav Fikar (CDC, 2013)

Explicit MPC approach to PMV-based thermal comfort control. - Martin Klauco; Michal Kvasnica (CDC, 2014)

Mixed-integer SOCP formulation of the path planning problem for heterogeneous multi-vehicle systems. - Martin Klauco; Slavomir Blazek; Michal Kvasnica; Miroslav Fikar (ECC, 2014)

MPC-based reference governors for thermostatically controlled residential buildings. - Ján Drgona; Martin Klauco; Michal Kvasnica (CDC, 2015)

Comparison of algorithms for near-optimal dominating sets computation in real-world networks. - Martin Nehéz; Dusan Bernát; Martin Klauco (CompSysTech, 2015)

Optimal vehicle routing with interception of targets' neighbourhoods. - Juraj Oravec; Martin Klauco; Michal Kvasnica; Johan Löfberg (ECC, 2015)

Regionless explicit MPC of a distillation column. - Ján Drgona; Filip Janecek; Martin Klauco; Michal Kvasnica (ECC, 2016)

An optimal path planning problem for heterogeneous multi-vehicle systems. - Martin Klauco; Slavomir Blazek; Michal Kvasnica (Int. J. Appl. Math. Comput. Sci., 2016)

Optimal control of a laboratory binary distillation column via regionless explicit MPC. - Ján Drgona; Martin Klauco; Filip Janecek; Michal Kvasnica (Comput. Chem. Eng., 2017)

Explicit MPC based on Approximate Dynamic Programming. - Peter Bakarác; Juraj Holaza; Martin Kalúz; Martin Klauco; Johan Löfberg; Michal Kvasnica (ECC, 2018)

MPC-based reference governor control of a continuous stirred-tank reactor. - Juraj Holaza; Martin Klauco; Ján Drgona; Juraj Oravec; Michal Kvasnica; Miroslav Fikar (Comput. Chem. Eng., 2018)

Non-linear Model Predictive Control of Conically Shaped Liquid Storage Tanks. - Martin Klauco; Lubos Cirka (CoRR, 2018)

Neural Network Based Explicit MPC for Chemical Reactor Control. - Karol Kis; Martin Klauco (CoRR, 2019)

Machine learning-based warm starting of active set methods in embedded model predictive control. - Martin Klauco; Martin Kalúz; Michal Kvasnica (Eng. Appl. Artif. Intell., 2019)

Complexity reduction in explicit MPC: A reachability approach. - Michal Kvasnica; Peter Bakarác; Martin Klauco (Syst. Control. Lett., 2019)

Driving Envelope Definition and Envelope Protection Using Model Predictive Control. - Denis Efremov; Martin Klauco; Tomás Hanis; Martin Hromcík (ACC, 2020)

Haptic Driver Guidance for Lateral Driving Envelope Protection Using Model Predictive Control. - Denis Efremov; Tomás Hanis; Martin Klauco (IV, 2020)

Neural Network Controllers in Chemical Technologies. - Karol Kis; Martin Klauco; Alajos Mészáros (SoSE, 2020)

Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. - Ján Drgona; Karol Kis; Aaron Tuor; Draguna L. Vrabie; Martin Klauco (CoRR, 2020)

Driving Envelope: On Vehicle Stability Through Tire Capacities. - Denis Efremov; Martin Klauco; Tomás Hanis (IV, 2022)

Real-time tunable approximated explicit MPC. - Juraj Oravec; Martin Klauco (Autom., 2022)

Real-Time Optimisation-Based Robust Control: Heat Exchanger Comparative Analysis. - Michaela Horváthová; Lenka Galcíková; Martin Klauco; Juraj Oravec (CDC, 2023)

Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control. - Matus Furka; Martin Kalúz; Miroslav Fikar; Martin Klauco (IEEE Access, 2023)

Approximated Explicit NMPC via Reinforcement Learning for Homomorphically Encrypted Process Control. - Diana Dzurková; Patrik Valábek; Olivér Mészáros; Martin Kalúz; Martin Klauco (CDC, 2024)

Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm. - Denis Efremov; Tomás Hanis; Martin Klauco (IEEE Trans. Intell. Transp. Syst., 2024)