| 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 | 60 | 2022 |
| Neural network based explicit MPC for chemical reactor control K Kiš, M Klaučo Acta Chimica Slovaca 12 (2), 218-223, 2019 | 26 | 2019 |
| Differentiable predictive control: An mpc alternative for unknown nonlinear systems using constrained deep learning J Drgona, K Kis, A Tuor, D Vrabie, M Klauco arXiv preprint arXiv:2011.03699 1, 2020 | 13 | 2020 |
| Neural network controllers in chemical technologies K Kiš, M Klaučo, A Mészáros 2020 IEEE 15th International Conference of System of Systems Engineering …, 2020 | 5 | 2020 |
| Explicit MPC in the form of Sparse Neural Networks K Kiš, M Klaučo, M Kvasnica 2021 23rd International Conference on Process Control (PC), 163-168, 2021 | 4 | 2021 |
| Simple tuning of arbitrary controllers using governors M Fikar, K Kiš, M Klaučo, M Mönnigmann IFAC-PapersOnLine 56 (2), 8439-8444, 2023 | 3 | 2023 |
| Exploring a Bilingual Next Word Predictor for a Federated Learning Mobile Application NA Burgos, K Kiš, P Bakarac, M Kvasnica, G Licitra Authorea Preprints, 2022 | 2 | 2022 |
| Usage of homomorphic encryption algorithms in process control M Furka, K Kiš, M Klaučo, M Kvasnica 2021 23rd International Conference on Process Control (PC), 43-48, 2021 | 2 | 2021 |
| Identification and Control of a Cascade of Biochemical Reactors M Furka, K Kiš, M Horváthová, M Mojto, M Bakošová 2020 Cybernetics & Informatics (K&I), 1-6, 2020 | 2 | 2020 |
| Differentiable predictive control: Constrained deep learning alternative to explicit model predictive control for unknown nonlinear systems J Drgona, K Kiš, A Tuor, D Vrabie, M Klauco arXiv preprint arXiv:2011.03699, 2020 | 2 | 2020 |
| Nearly optimal tunable MPC strategies on embedded platforms K Kiš, P Bakaráč, M Klaučo IFAC-PapersOnLine 55 (16), 326-331, 2022 | 1 | 2022 |
| Nearly-optimal Explicit MPC-based Reference Governors with Long Prediction Horizons Generated with Machine Learning K Kiš, M Klaučo 2023 24th International Conference on Process Control (PC), 24-29, 2023 | | 2023 |
| Control of a Chemical Reactor with High Precision Encryption Framework M Furka, K Kiš, M Klaučo 2022 Cybernetics & Informatics (K&I), 1-6, 2022 | | 2022 |
| Dynamic optimisation Toolbox dynopt 5.0 M Fikar, M Furka, M Horváthová, K Kiš, M Mojto 2021 23rd International Conference on Process Control (PC), 296-301, 2021 | | 2021 |
| Predictive control of a cascade of biochemical reactors M Mojto, M Horváthová, K Kiš, M Furka, M Bakošová Acta Chimica Slovaca 14 (1), 51-59, 2021 | | 2021 |
| Supervised Learning for Robust Predictive Control: Safe and Tunable Approach M Horváthová, K Kiš, M Klaučo, J Oravec Available at SSRN 5131705, 0 | | |
Martin KlaucoHead of department | Senior Researcherยืนยันอีเมลแล้วที่ stuba.sk