| LSTM and GRU neural networks as models of dynamical processes used in predictive control: A comparison of models developed for two chemical reactors K Zarzycki, M Ławryńczuk Sensors 21 (16), 5625, 2021 | 73 | 2021 |
| Advanced predictive control for GRU and LSTM networks K Zarzycki, M Ławryńczuk Information Sciences 616, 229-254, 2022 | 46 | 2022 |
| Fast real-time model predictive control for a ball-on-plate process K Zarzycki, M Ławryńczuk Sensors 21 (12), 3959, 2021 | 14 | 2021 |
| Predictive tracking of an object by a pan–tilt camera of a robot R Nebeluk, K Zarzycki, D Seredyński, P Chaber, M Figat, PD Domański, ... Nonlinear Dynamics 111 (9), 8383-8395, 2023 | 5 | 2023 |
| Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector P Chaber, PD Domański, D D±browski, M Ławryńczuk, R Nebeluk, ... Sensors 22 (2), 678, 2022 | 5 | 2022 |
| Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study K Zarzycki, P Chaber, K Cabaj, M Ławryńczuk, P Marusak, R Nebeluk, ... Sensors 23 (15), 6778, 2023 | 3 | 2023 |
| Practical Digital Twins Application to High Energy Systems: Thermal Protection for Multi-Detector A Wojtulewicz, PD Domański, M Czarnynoga, M Kutyła, M Ławryńczuk, ... Electronics 11 (14), 2269, 2022 | 2 | 2022 |
| Development and modelling of a laboratory ball on plate process K Zarzycki, M Ławryńczuk Advanced, Contemporary Control: Proceedings of KKA 2020—The 20th Polish …, 2020 | 2 | 2020 |
| Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach K Zarzycki, M Ławryńczuk Sensors 23 (21), 8898, 2023 | 1 | 2023 |
| Physics-Informed Hybrid Neural Network Model for MPC: A Fuzzy Approach K Zarzycki, M Ławryńczuk Proceedings of the XXI Polish Control Conference, 183-192, 2023 | 1 | 2023 |
| Physics-Informed Hybrid GRU Neural Networks for MPC Prediction K Zarzycki, M Lawryńczuk IFAC-PapersOnLine 56 (2), 8726-8731, 2023 | 1 | 2023 |
| Fast Nonlinear Model Predictive Control Using LSTM Networks: A Model Linearisation Approach K Zarzycki, M Ławryńczuk 2022 30th Mediterranean Conference on Control and Automation (MED), 1-6, 2022 | 1 | 2022 |
| GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks K Zarzycki, P Chaber, K Cabaj, M Ławryńczuk, P Marusak, R Nebeluk, ... IEEE Access, 2023 | | 2023 |
| Expert system for flood risk management K Zarzycki Instytut Automatyki i Robotyki, 2017 | | 2017 |
