Name
Affiliation
Papers
KRZYSZTOF PATAN
Institute of Control and Computation Engineering, University of Zielona Góra,
32
Collaborators
Citations 
PageRank 
27
151
18.13
Referers 
Referees 
References 
290
330
203
Search Limit
100330
Title
Citations
PageRank
Year
Neural-network-based nonlinear iterative learning control: Magnetic brake study00.342021
Sensor Fault-Tolerant Control Design for Magnetic Brake System.00.342020
Design And Convergence Of Iterative Learning Control Based On Neural Networks00.342018
Iterative Learning Control Of Repetitive Transverse Loads In Elastic Materials00.342018
Experimentally Verified Multi-Objective Iterative Learning Control Design With Frequency Domain Specifications00.342018
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling.50.432017
Design of predictive fault tolerant control by the means of State Space Neural Networks00.342016
Optimum Training Design For Neural Network In Synthesis Of Robust Model Predictive Control00.342016
Neural Network-Based Model Predictive Control: Fault Tolerance and Stability80.532015
A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation.00.342015
Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand80.522014
Fault accommodation of the two rotor aero-dynamical system using the state space neural networks based model predictive control00.342014
Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system00.342014
Robust model predictive control using neural networks00.342014
Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays10.412013
Analysis and classification of EEG data: an evaluation of methods00.342012
Nonlinear model predictive control of a boiler unit: A fault tolerant control study151.022012
Stability analysis of the neural network based fault tolerant control for the boiler unit30.562012
Selection of training data for locally recurrent neural network00.342010
Local stability conditions for discrete-time cascade locally recurrent neural networks20.472010
Optimal Training Sequences for Locally Recurrent Neural Networks210.952009
Corrigendum to "Stability analysis and the stabilization of a class of discrete-time dynamic neural networks"20.522009
Towards Robustness in Neural Network Based Fault Diagnosis211.082008
Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks.80.682008
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks221.702007
Dc Motor Fault Diagnosis By Means Of Artificial Neural Networks20.522007
Fault detection in catalytic cracking converter by means of probability density approximation20.392007
Global stability conditions of locally recurrent neural networks10.412005
Heuristic Search for an Optimal Architecture of a Locally Reccurent Neural Network00.342003
Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons50.582002
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems232.172001
Network of dynamic neurons in fault detection systems20.471998