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Krzysztof Patan
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2020 – today
- 2023
- [j13]Krzysztof Patan
, Maciej Patan
Fault-tolerant design of non-linear iterative learning control using neural networks. Eng. Appl. Artif. Intell. 124: 106501 (2023) - [c32]Maciej Patan, Kamil Klimkowicz
Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes. CDC 2023: 4632-4637 - 2022
- [c31]Krzysztof Patan, Maciej Patan:
Reservoir modeling of distributed-parameter systems. ICARCV 2022: 198-203 - [c30]Maciej Patan, Kamil Klimkowicz
Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems. ICARCV 2022: 449-454 - [c29]Krzysztof Patan, Maciej Patan:
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. IJCNN 2022: 1-8 - 2021
- [c28]Krzysztof Patan, Maciej Patan:
Neural-network-based nonlinear iterative learning control: Magnetic brake study. IJCNN 2021: 1-7 - 2020
- [j12]Krzysztof Patan
Sensor Fault-Tolerant Control Design for Magnetic Brake System. Sensors 20(16): 4598 (2020) - [c27]Krzysztof Patan, Maciej Patan:
Robustness of Neural-Network-based Nonlinear Iterative Learning Control. ICARCV 2020: 578-583 - [c26]Maciej Patan, Kamil Klimkowicz
Iterative learning control for distributed parameter systems using sensor-actuator network. ICARCV 2020: 1200-1205 - [e1]Józef Korbicz, Roman Maniewski, Krzysztof Patan, Marek Kowal:
Current Trends in Biomedical Engineering and Bioimages Analysis - Proceedings of the 21st Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE 2019, Zielona Góra, Poland, September 25-27, 2019. Advances in Intelligent Systems and Computing 1033, Springer 2020, ISBN 978-3-030-29884-5 [contents]
2010 – 2019
- 2019
- [c25]Krzysztof Patan, Maciej Patan:
Neural-network-based high-order iterative learning control. ACC 2019: 2873-2878 - [c24]Maciej Patan, Kamil Klimkowicz
Iterative learning control of the displacements of a cantilever beam. CDC 2019: 5593-5598 - [c23]Krzysztof Patan, Grzegorz Rutkowski:
Detection of Epileptic Seizures via Deep Long Short-Term Memory. PCBBE 2019: 166-178 - 2018
- [c22]Maciej Patan, Krzysztof Patan, Krzysztof Galkowski
Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials. CDC 2018: 5270-5275 - [c21]Krzysztof Patan, Maciej Patan:
Design and convergence of iterative learning control based on neural networks. ECC 2018: 1-6 - [c20]Wojciech Paszke, Krzysztof Patan, Eric Rogers
Experimentally verified multi-objective iterative learning control design with frequency domain specifications. ECC 2018: 3143-3148 - 2017
- [j11]Piotr Witczak, Krzysztof Patan
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling. Neurocomputing 250: 65-75 (2017) - 2016
- [c19]Krzysztof Patan
Optimum training design for neural network in synthesis of robust model predictive control. CDC 2016: 3401-3406 - [c18]Andrzej Czajkowski
Design of predictive fault tolerant control by the means of State Space Neural Networks. MED 2016: 201-206 - 2015
- [j10]Krzysztof Patan
Neural Network-Based Model Predictive Control: Fault Tolerance and Stability. IEEE Trans. Control. Syst. Technol. 23(3): 1147-1155 (2015) - [c17]Piotr Witczak, Marcin Mrugalski
A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation. IWANN (1) 2015: 535-548 - 2014
- [j9]Andrzej Czajkowski
Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand. Eng. Appl. Artif. Intell. 30: 168-178 (2014) - [c16]Krzysztof Patan
Robust model predictive control using neural networks. ISIC 2014: 1107-1112 - [c15]Piotr Witczak, Marcin Witczak
Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system. ISIC 2014: 1113-1118 - [c14]Grzegorz Rutkowski, Krzysztof Patan
Computer-Aided Off-Line Diagnosis of Epileptic Seizures. ICAISC (2) 2014: 187-194 - [c13]Andrzej Czajkowski
Fault accommodation of the two rotor aero-dynamical system using the state space neural networks based model predictive control. MMAR 2014: 407-412 - 2013
- [c12]Grzegorz Rutkowski, Krzysztof Patan
Comparison of Time-Frequency Feature Extraction Methods for EEG Signals Classification. ICAISC (2) 2013: 320-329 - [c11]Andrzej Czajkowski, Krzysztof Patan:
Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays. MMAR 2013: 195-199 - 2012
- [j8]Krzysztof Patan
Nonlinear model predictive control of a boiler unit: A fault tolerant control study. Int. J. Appl. Math. Comput. Sci. 22(1): 225-237 (2012) - [c10]Krzysztof Patan, Grzegorz Rutkowski:
Analysis and Classification of EEG Data: An Evaluation of Methods. ICAISC (2) 2012: 310-317 - [c9]Andrzej Czajkowski, Krzysztof Patan, Józef Korbicz
Stability Analysis of the Neural Network Based Fault Tolerant Control for the Boiler Unit. ICAISC (2) 2012: 548-556 - 2010
- [j7]Krzysztof Patan
Local stability conditions for discrete-time cascade locally recurrent neural networks. Int. J. Appl. Math. Comput. Sci. 20(1): 23-34 (2010) - [c8]Krzysztof Patan
Selection of Training Data for Locally Recurrent Neural Network. ICANN (2) 2010: 134-137
2000 – 2009
- 2009
- [j6]Krzysztof Patan
Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". IEEE Trans. Neural Networks 20(3): 547-548 (2009) - [c7]Krzysztof Patan
Optimal Training Sequences for Locally Recurrent Neural Networks. ICANN (1) 2009: 80-89 - 2008
- [j5]Krzysztof Patan
Towards Robustness in Neural Network Based Fault Diagnosis. Int. J. Appl. Math. Comput. Sci. 18(4): 443-454 (2008) - [j4]Krzysztof Patan
Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. Neural Networks 21(1): 59-64 (2008) - 2007
- [j3]Krzysztof Patan
Fault detection in catalytic cracking converter by means of probability density approximation. Eng. Appl. Artif. Intell. 20(7): 912-923 (2007) - [j2]Krzysztof Patan
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks. IEEE Trans. Neural Networks 18(3): 660-673 (2007) - [c6]Krzysztof Patan, Józef Korbicz, Gracjan Glowacki:
DC motor fault diagnosis by means of artificial neural networks. ICINCO-ICSO 2007: 11-18 - 2005
- [c5]Krzysztof Patan, Józef Korbicz, Przemyslaw Pretki:
Global Stability Conditions of Locally Recurrent Neural Networks. ICANN (2) 2005: 191-196 - 2003
- [c4]Andrzej Obuchowicz, Krzysztof Patan:
Heuristic Search for an Optimal Architecture of a Locally Reccurent Neural Network. IIS 2003: 285-292 - 2002
- [c3]Krzysztof Patan
Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons. ACC 2002: 2577-2582 - 2001
- [j1]J. M. F. Calado, Józef Korbicz
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems. Eur. J. Control 7(2-3): 248-286 (2001)
1990 – 1999
- 1999
- [c2]Krzysztof Patan, Andrzej Obuchowicz, Józef Korbicz
Cascade network of dynamic neurons in fault detection systems. ECC 1999: 4232-4237 - 1998
- [c1]J. Korbiez, Andrzej Obuchowicz, Krzysztof Patan:
Network of dynamic neurons in fault detection systems. SMC 1998: 1862-1867
Coauthor Index
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