K. Patan

发表

Detection of Epileptic Seizures via Deep Long Short-Term Memory

K. Patan, G. Rutkowski, 2019, Advances in Intelligent Systems and Computing.

Network of dynamic neurons in fault detection systems

A. Obuchowicz, K. Patan, J. Korbiez, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Stability Criteria for Three-Layer Locally Recurrent Networks

K. Patan, 2008 .

Fault detection of the boiler unit using state space neural networks

K. Patan, A. Czajkowski, K. Patan, 2009 .

Fault diagnosis and fault tolerant control

Stéphane Ploix, Youmin Zhang, Jean-Marie Flaus, 2007 .

Dynamic Neural Networks for Process Modelling in Fault Detection and Isolation Systems

Józef Korbicz, Andrzej Obuchowicz, Krzysztof Patan, 1999 .

Neural Network Fault Detection System for Dynamic Processes

Krzysztof Patan, Józef Korbicz, Andrzej Obuchowicz, 2001 .

Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling

K. Patan, M. Patan, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Actuator fault-tolerant iterative learning control of the magnetic brake system

K. Patan, M. Patan, 2022, IFAC-PapersOnLine.

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Krzysztof Patan, K. Patan, 2008 .

Decision Making in Fault Detection

Krzysztof Patan, K. Patan, 2008 .

Model Predictive Control Methods

K. Patan, 2021, Diagnosis and Fault‐tolerant Control 2.

Model Predictive Control

Krzysztof Patan, K. Patan, 2019, Studies in Systems, Decision and Control.

Two stage neural network modelling for robust model predictive control.

Krzysztof Patan, K. Patan, 2017, ISA transactions.

Optimal observation strategies for model-based fault detection in distributed systems

Maciej Patan, Krzysztof Patan, K. Patan, 2005 .

Application of Deep Learning to Seizure Classification

K. Patan, G. Rutkowski, 2020, Advances in Diagnostics of Processes and Systems.

Comparison of Time-Frequency Feature Extraction Methods for EEG Signals Classification

Krzysztof Patan, Grzegorz Rutkowski, Pawel Lesniak, 2013, ICAISC.

A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling

Krzysztof Patan, Marcin Witczak, Marcin Mrugalski, 2017, Neurocomputing.

Observer-based iterative learning control design in the repetitive process setting

Wojciech Paszke, Eric Rogers, Krzysztof Patan, 2017 .

Fault-Tolerant Control: Analytical and Soft Computing Solutions

Krzysztof Patan, Józef Korbicz, Marcin Witczak, 2020 .

Neural Network-Based Model Predictive Control: Fault Tolerance and Stability

Krzysztof Patan, K. Patan, 2015, IEEE Transactions on Control Systems Technology.

Robust model predictive control using neural networks

Krzysztof Patan, Piotr Witczak, K. Patan, 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

Nonlinear model predictive control of a boiler unit: A fault tolerant control study

Krzysztof Patan, Józef Korbicz, J. Korbicz, 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).

Stable neural network based model predictive control

Krzysztof Patan, Jozef Korbicz, J. Korbicz, 2013, 2013 Conference on Control and Fault-Tolerant Systems (SysTol).

Soft Computing Approaches to Fault Diagnosis for Dynamic Systems

Krzysztof Patan, Józef Korbicz, Ron J. Patton, 2001, Eur. J. Control.

Optimum training design for neural network in synthesis of robust model predictive control

Krzysztof Patan, Maciej Patan, Damian Kowalow, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Fault-tolerant design of non-linear iterative learning control using neural networks

K. Patan, M. Patan, 2023, Engineering Applications of Artificial Intelligence.

Neural-network-based iterative learning control of nonlinear systems.

Maciej Patan, Krzysztof Patan, K. Patan, 2020, ISA transactions.

Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand

Krzysztof Patan, Andrzej Czajkowski, Miroslaw Szymanski, 2014, Eng. Appl. Artif. Intell..

Robust Fault Detection by Means of Echo State Neural Network

Krzysztof Patan, Andrzej Czajkowski, K. Patan, 2016 .

Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks"

Maciej Patan, Krzysztof Patan, K. Patan, 2009, IEEE Trans. Neural Networks.

A neural network-based simultaneous state and actuator fault estimation under unknown input decoupling

Krzysztof Patan, Marcin Witczak, Piotr Witczak, 2016, 2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol).

A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation

Krzysztof Patan, Marcin Witczak, Marcin Mrugalski, 2015, IWANN.

Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system

Krzysztof Patan, Ralf Stetter, Marcin Witczak, 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays

Krzysztof Patan, Andrzej Czajkowski, K. Patan, 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

Towards Robustness in Neural Network Based Fault Diagnosis

Huilan Jiang, Mengbin Wang, Tangsheng Liu, 2008, Int. J. Appl. Math. Comput. Sci..

Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks

Krzysztof Patan, K. Patan, 2008, Neural Networks.

Local stability conditions for discrete-time cascade locally recurrent neural networks

Krzysztof Patan, K. Patan, 2010, Int. J. Appl. Math. Comput. Sci..

Approximation ability of a class of locally recurrent globally feed-forward neural networks

Krzysztof Patan, K. Patan, 2007, 2007 European Control Conference (ECC).