Network of dynamic neurons in fault detection systems. - J. Korbiez; Andrzej Obuchowicz; Krzysztof Patan (SMC, 1998)

Cascade network of dynamic neurons in fault detection systems. - Krzysztof Patan; Andrzej Obuchowicz; Józef Korbicz (ECC, 1999)

Soft Computing Approaches to Fault Diagnosis for Dynamic Systems. - J. M. F. Calado; Józef Korbicz; Krzysztof Patan; Ron J. Patton; José M. G. Sá da Costa (Eur. J. Control, 2001)

Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons. - Krzysztof Patan; Thomas Parisini (ACC, 2002)

Heuristic Search for an Optimal Architecture of a Locally Reccurent Neural Network. - Andrzej Obuchowicz; Krzysztof Patan (IIS, 2003)

Training of the dynamic neural networks via constrained optimisation. - Krzysztof Patan (IJCNN, 2004)

Global Stability Conditions of Locally Recurrent Neural Networks. - Krzysztof Patan; Józef Korbicz; Przemyslaw Pretki (ICANN (2), 2005)

DC motor fault diagnosis by means of artificial neural networks. - Krzysztof Patan; Józef Korbicz; Gracjan Glowacki (ICINCO-ICSO, 2007)

Fault detection in catalytic cracking converter by means of probability density approximation. - Krzysztof Patan; Józef Korbicz (Eng. Appl. Artif. Intell., 2007)

Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks. - Krzysztof Patan (IEEE Trans. Neural Networks, 2007)

Towards Robustness in Neural Network Based Fault Diagnosis. - Krzysztof Patan; Marcin Witczak; Józef Korbicz (Int. J. Appl. Math. Comput. Sci., 2008)

Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. - Krzysztof Patan (Neural Networks, 2008)

Optimal Training Sequences for Locally Recurrent Neural Networks. - Krzysztof Patan; Maciej Patan (ICANN (1), 2009)

Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". - Krzysztof Patan; Maciej Patan (IEEE Trans. Neural Networks, 2009)

Selection of Training Data for Locally Recurrent Neural Network. - Krzysztof Patan; Maciej Patan (ICANN (2), 2010)

Local stability conditions for discrete-time cascade locally recurrent neural networks. - Krzysztof Patan (Int. J. Appl. Math. Comput. Sci., 2010)

Stability Analysis of the Neural Network Based Fault Tolerant Control for the Boiler Unit. - Andrzej Czajkowski; Krzysztof Patan; Józef Korbicz (ICAISC (2), 2012)

Analysis and Classification of EEG Data: An Evaluation of Methods. - Krzysztof Patan; Grzegorz Rutkowski (ICAISC (2), 2012)

Nonlinear model predictive control of a boiler unit: A fault tolerant control study. - Krzysztof Patan; Józef Korbicz (Int. J. Appl. Math. Comput. Sci., 2012)

Comparison of Time-Frequency Feature Extraction Methods for EEG Signals Classification. - Grzegorz Rutkowski; Krzysztof Patan; Pawel Lesniak (ICAISC (2), 2013)

Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays. - Andrzej Czajkowski; Krzysztof Patan (MMAR, 2013)

Robust model predictive control using neural networks. - Krzysztof Patan; Piotr Witczak (ISIC, 2014)

Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system. - Piotr Witczak; Marcin Witczak; Krzysztof Patan; Ralf Stetter (ISIC, 2014)

Computer-Aided Off-Line Diagnosis of Epileptic Seizures. - Grzegorz Rutkowski; Krzysztof Patan (ICAISC (2), 2014)

Fault accommodation of the two rotor aero-dynamical system using the state space neural networks based model predictive control. - Andrzej Czajkowski; Krzysztof Patan (MMAR, 2014)

Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand. - Andrzej Czajkowski; Krzysztof Patan; Miroslaw Szymanski (Eng. Appl. Artif. Intell., 2014)

A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation. - Piotr Witczak; Marcin Mrugalski; Krzysztof Patan; Marcin Witczak (IWANN (1), 2015)

Neural Network-Based Model Predictive Control: Fault Tolerance and Stability. - Krzysztof Patan (IEEE Trans. Control. Syst. Technol., 2015)

Optimum training design for neural network in synthesis of robust model predictive control. - Krzysztof Patan; Maciej Patan; Damian Kowalow (CDC, 2016)

Design of predictive fault tolerant control by the means of State Space Neural Networks. - Andrzej Czajkowski; Krzysztof Patan (MED, 2016)

A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling. - Piotr Witczak; Krzysztof Patan; Marcin Witczak; Marcin Mrugalski (Neurocomputing, 2017)

Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials. - Maciej Patan; Krzysztof Patan; Krzysztof Galkowski; Eric Rogers (CDC, 2018)

Experimentally verified multi-objective iterative learning control design with frequency domain specifications. - Wojciech Paszke; Krzysztof Patan; Eric Rogers (ECC, 2018)

Design and convergence of iterative learning control based on neural networks. - Krzysztof Patan; Maciej Patan (ECC, 2018)

Neural-network-based high-order iterative learning control. - Krzysztof Patan; Maciej Patan (ACC, 2019)

Iterative learning control of the displacements of a cantilever beam. - Maciej Patan; Kamil Klimkowicz; Robert Maniarski; Krzysztof Patan; Eric Rogers (CDC, 2019)

Detection of Epileptic Seizures via Deep Long Short-Term Memory. - Krzysztof Patan; Grzegorz Rutkowski (PCBBE, 2019)

Iterative learning control for distributed parameter systems using sensor-actuator network. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan (ICARCV, 2020)

Robustness of Neural-Network-based Nonlinear Iterative Learning Control. - Krzysztof Patan; Maciej Patan (ICARCV, 2020)

Sensor Fault-Tolerant Control Design for Magnetic Brake System. - Krzysztof Patan; Maciej Patan; Kamil Klimkowicz (Sensors, 2020)

Neural-network-based nonlinear iterative learning control: Magnetic brake study. - Krzysztof Patan; Maciej Patan (IJCNN, 2021)

Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan (ICARCV, 2022)

Reservoir modeling of distributed-parameter systems. - Krzysztof Patan; Maciej Patan (ICARCV, 2022)

Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. - Krzysztof Patan; Maciej Patan (IJCNN, 2022)

Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan; Eric Rogers (CDC, 2023)

Fault-tolerant design of non-linear iterative learning control using neural networks. - Krzysztof Patan; Maciej Patan (Eng. Appl. Artif. Intell., 2023)

Fault diagnosis of the vibrating beam system via multimodel neural ensembles. - Krzysztof Patan; Maciej Patan; Piotr Balik (ASCC, 2024)

Fault-tolerant iterative learning control of distributed systems via reservoir computing. - Krzysztof Patan; Maciej Patan (CDC, 2024)