| Artificial neural networks for the modelling and fault diagnosis of technical processes K Patan Springer, 2008 | 289 | 2008 |
| Soft computing approaches to fault diagnosis for dynamic systems JMF Calado, J Korbicz, K Patan, RJ Patton, JMGS Da Costa European Journal of Control 7 (2-3), 248-286, 2001 | 144 | 2001 |
| Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process K Patan, T Parisini Journal of Process Control 15 (1), 67-79, 2005 | 112 | 2005 |
| Application of the DiaSter system M Syfert, P Chrzanowski, B Fajdek, M Ławryńczuk, P Marusak, K Patan, ... Modeling, Diagnostics and Process Control: Implementation in the DiaSter …, 2011 | 111 | 2011 |
| Neural network-based model predictive control: Fault tolerance and stability K Patan IEEE Transactions on Control Systems Technology 23 (3), 1147-1155, 2014 | 105 | 2014 |
| Towards robustness in neural network based fault diagnosis K Patan, M Witczak, J Korbicz International Journal of Applied Mathematics and Computer Science 18 (4 …, 2008 | 91 | 2008 |
| Dynamic neural networks for process modelling in fault detection and isolation systems J Korbicz, K Patan, A Obuchowicz International Journal of Applied Mathematics and Computer Science 9 (3), 519-546, 1999 | 74 | 1999 |
| Stability analysis and the stabilization of a class of discrete-time dynamic neural networks K Patan IEEE Transactions on Neural Networks 18 (3), 660-673, 2007 | 71 | 2007 |
| Neural-network-based iterative learning control of nonlinear systems K Patan, M Patan ISA transactions 98, 445-453, 2020 | 67 | 2020 |
| Nonlinear model predictive control of a boiler unit: A fault tolerant control study K Patan, J Korbicz International Journal of Applied Mathematics and Computer Science 22 (1 …, 2012 | 51 | 2012 |
| Two stage neural network modelling for robust model predictive control K Patan ISA transactions 72, 56-65, 2018 | 41 | 2018 |
| Optimal training strategies for locally recurrent neural networks K Patan, M Patan Journal of Artificial Intelligence and Soft Computing Research 1 (2), 103-114, 2011 | 35 | 2011 |
| A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling P Witczak, K Patan, M Witczak, M Mrugalski Neurocomputing 250, 65-75, 2017 | 29 | 2017 |
| Optimal observation strategies for model-based fault detection in distributed systems M Patan, K Patan International Journal of Control 78 (18), 1497-1510, 2005 | 29 | 2005 |
| Neural networks in design of iterative learning control for nonlinear systems K Patan, M Patan, D Kowalów IFAC-PapersOnLine 50 (1), 13402-13407, 2017 | 27 | 2017 |
| Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons K Patan, T Parisini Proceedings of the 2002 American Control Conference (IEEE Cat. No. CH37301 …, 2002 | 26 | 2002 |
| Robust and fault-tolerant control: neural-network-based solutions K Patan Springer, 2019 | 25 | 2019 |
| Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand A Czajkowski, K Patan, M Szymański Engineering Applications of Artificial Intelligence 30, 168-178, 2014 | 25 | 2014 |
| Network of dynamic neurons in fault detection systems J Korbiez, A Obuchowicz, K Patan SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998 | 24 | 1998 |
| Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks K Patan Neural Networks 21 (1), 59-64, 2008 | 23 | 2008 |
