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Assoc. Prof. Marcin Mrugalski, Ph.D., D.Sc.
Assoc. Prof. Marcin Mrugalski, Ph.D., D.Sc.
Uniwersytet Zielonogorski, Uniwersytet Zielonogórski, University of Zielona Góra, University of
Zweryfikowany adres z issi.uz.zgora.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem
M Witczak, J Korbicz, M Mrugalski, RJ Patton
Control Engineering Practice 14 (6), 671-683, 2006
1372006
An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection
M Mrugalski
International Journal of Applied Mathematics and Computer Science 23 (1 …, 2013
1092013
Confidence estimation of the multi-layer perceptron and its application in fault detection systems
M Mrugalski, M Witczak, J Korbicz
Engineering Applications of Artificial Intelligence 21 (6), 895-906, 2008
622008
Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system
M Mrugalski, M Luzar, M Pazera, M Witczak, C Aubrun
ISA transactions 61, 318-328, 2016
582016
Advanced neural network-based computational schemes for robust fault diagnosis
M Mrugalski
Springer International Publishing 510, 182, 2014
572014
A quadratic boundedness approach to robust DC motor fault estimation
M Buciakowski, M Witczak, M Mrugalski, D Theilliol
Control Engineering Practice 66, 181-194, 2017
362017
Confidence estimation of GMDH neural networks and its application in fault detection systems
J Korbicz, M Mrugalski
International Journal of Systems Science 39 (8), 783-800, 2008
332008
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling
P Witczak, K Patan, M Witczak, M Mrugalski
Neurocomputing 250, 65-75, 2017
292017
State-space GMDH neural networks for actuator robust fault diagnosis
M Mrugalski, M Witczak
Advances in Electrical and Computer Engineering 12 (3), 65-72, 2012
272012
Towards robust neural-network-based sensor and actuator fault diagnosis: Application to a tunnel furnace
M Witczak, M Mrugalski, J Korbicz
Neural Processing Letters 42, 71-87, 2015
202015
A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults
M Pazera, M Buciakowski, M Witczak, M Mrugalski
Neural Computing and Applications 32, 379-389, 2020
192020
An Happroach to fault estimation of non-linear systems: Application to one-link manipulator
M Witczak, M Buciakowski, M Mrugalski
2014 19th International Conference on Methods and Models in Automation and …, 2014
182014
Remaining useful life prediction of MOSFETs via the Takagi–Sugeno framework
M Witczak, M Mrugalski, B Lipiec
Energies 14 (8), 2135, 2021
142021
Least mean square vs. outer bounding ellipsoid algorithm in confidence estimation of the GMDH neural networks
M Mrugalski, J Korbicz
International Conference on Adaptive and Natural Computing Algorithms, 19-26, 2007
142007
Neural network based modelling of non-linear systems in fault detection schemes
M Mrugalski
PhD thesis, 2004
142004
Parameter estimation of dynamic GMDH neural networks with the bounded-error technique
M Mrugalski, M Witczak
Journal of Applied Computer Science 10 (1), 77-90, 2002
132002
Fault diagnosis of an automated guided vehicle with torque and motion forces estimation: A case study
M Witczak, M Mrugalski, M Pazera, N Kukurowski
ISA transactions 104, 370-381, 2020
122020
Dynamic GMDH type neural networks
M Mrugalski, E Arinton, J Korbicz
Neural Networks and Soft Computing: Proceedings of the Sixth International …, 2003
112003
Robust fault detection via GMDH neural networks
M Mrugalski, J Korbicz, RJ Patton
IFAC Proceedings Volumes 38 (1), 83-88, 2005
102005
Fault-tolerant tracking control for a non-linear twin-rotor system under ellipsoidal bounding
N Kukurowski, M Mrugalski, M Pazera, M Witczak
International Journal of Applied Mathematics and Computer Science 32 (2), 2022
72022
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