Krzysztof Patan

Orcid: 0000-0002-6989-9400

According to our database1, Krzysztof Patan authored at least 45 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Fault-tolerant design of non-linear iterative learning control using neural networks.
Eng. Appl. Artif. Intell., 2023

Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling.
Proceedings of the International Joint Conference on Neural Networks, 2022

Reservoir modeling of distributed-parameter systems.
Proceedings of the 17th International Conference on Control, 2022

Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems.
Proceedings of the 17th International Conference on Control, 2022

2021
Neural-network-based nonlinear iterative learning control: Magnetic brake study.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Sensor Fault-Tolerant Control Design for Magnetic Brake System.
Sensors, 2020

Robustness of Neural-Network-based Nonlinear Iterative Learning Control.
Proceedings of the 16th International Conference on Control, 2020

Iterative learning control for distributed parameter systems using sensor-actuator network.
Proceedings of the 16th International Conference on Control, 2020

2019
Detection of Epileptic Seizures via Deep Long Short-Term Memory.
Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

Iterative learning control of the displacements of a cantilever beam.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Neural-network-based high-order iterative learning control.
Proceedings of the 2019 American Control Conference, 2019

2018
Design and convergence of iterative learning control based on neural networks.
Proceedings of the 16th European Control Conference, 2018

Experimentally verified multi-objective iterative learning control design with frequency domain specifications.
Proceedings of the 16th European Control Conference, 2018

Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling.
Neurocomputing, 2017

2016
Design of predictive fault tolerant control by the means of State Space Neural Networks.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Optimum training design for neural network in synthesis of robust model predictive control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

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

A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand.
Eng. Appl. Artif. Intell., 2014

Fault accommodation of the two rotor aero-dynamical system using the state space neural networks based model predictive control.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

Computer-Aided Off-Line Diagnosis of Epileptic Seizures.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

Robust model predictive control using neural networks.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2013
Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

Comparison of Time-Frequency Feature Extraction Methods for EEG Signals Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Nonlinear model predictive control of a boiler unit: A fault tolerant control study.
Int. J. Appl. Math. Comput. Sci., 2012

Analysis and Classification of EEG Data: An Evaluation of Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Stability Analysis of the Neural Network Based Fault Tolerant Control for the Boiler Unit.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

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

Selection of Training Data for Locally Recurrent Neural Network.
Proceedings of the Artificial Neural Networks, 2010

2009
Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks".
IEEE Trans. Neural Networks, 2009

Optimal Training Sequences for Locally Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

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

Towards Robustness in Neural Network Based Fault Diagnosis.
Int. J. Appl. Math. Comput. Sci., 2008

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

Fault detection in catalytic cracking converter by means of probability density approximation.
Eng. Appl. Artif. Intell., 2007

DC motor fault diagnosis by means of artificial neural networks.
Proceedings of the ICINCO 2007, 2007

2005
Global Stability Conditions of Locally Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2003
Heuristic Search for an Optimal Architecture of a Locally Reccurent Neural Network.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

2002
Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons.
Proceedings of the American Control Conference, 2002

2001
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems.
Eur. J. Control, 2001

1999
Cascade network of dynamic neurons in fault detection systems.
Proceedings of the 5th European Control Conference, 1999

1998
Network of dynamic neurons in fault detection systems.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998


  Loading...