Marcin Mrugalski

发表

State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis

Marcin Witczak, Marcin Mrugalski, M. Witczak, 2012 .

Robust Time-Varying Sensor Bias Estimation for Bounded-Error Systems: Application to the Wind Turbine Benchmark

Vicenç Puig, Marcin Witczak, Marcin Mrugalski, 2018, 2018 26th Mediterranean Conference on Control and Automation (MED).

Estimation Methods in Training of ANNs for Robust Fault Diagnosis

Marcin Mrugalski, 2014 .

Fuzzy modelling and robust fault-tolerant scheduling of cooperating forklifts

Marcin Witczak, Bogdan Lipiec, Marcin Mrugalski, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Confidence estimation of the multi-layer perceptron and its application in fault detection systems

Józef Korbicz, Marcin Witczak, Marcin Mrugalski, 2008, Eng. Appl. Artif. Intell..

Application of the MLP Neural Network to the Robust Fault Detection

Józef Korbicz, Marcin Mrugalski, 2007 .

Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace

Józef Korbicz, Marcin Witczak, Marcin Mrugalski, 2014, Neural Processing Letters.

Designing of State-Space Neural Model and Its Application to Robust Fault Detection

Marcin Mrugalski, 2013, ICAISC.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Marcin Mrugalski, M. Mrugalski, 2013, Studies in Computational Intelligence.

Simultaneous estimation of multiple actuator anc sensor faults for Takagi-Sugeno fuzzy systems

Marcin Witczak, Marcin Mrugalski, Mariusz Buciakowski, 2017, 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR).

A GMDH neural network based approach to passive robust fault detection using a constraints satisfact

Vicenç Puig, Józef Korbicz, Ari Ingimundarson, 2005 .

A quadratic boundedness approach to robust DC motor fault estimation

Didier Theilliol, Marcin Witczak, Marcin Mrugalski, 2017 .

Confidence Estimation of GMDH Neural Networks

Józef Korbicz, Marcin Witczak, Marcin Mrugalski, 2004, ICAISC.

A Neural Network-Based Approach to Sensor and Actuator Fault-Tolerant Control

Marcin Witczak, Marcin Mrugalski, Mariusz Buciakowski, 2019, IWANN.

Detekcja uszkodzeń odporna na niepewność modelu neuronowego

Józef Korbicz, Marcin Mrugalski, 2005 .

Robust unknown input filter for fault diagnosis of non-linear systems

Marcin Witczak, Marcin Mrugalski, 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

State-Space GMDH Networks for Actuator Robust FDI

Marcin Mrugalski, 2014 .

Robust fault identification of a polytopic LPV system with neural network

Marcin Witczak, Marcel Luzar, Marcin Mrugalski, 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

A pole estimation approach to the synthesis of the dynamic GMDH neural networks

Marcin Witczak, Jozef Korbicz, Marcin Mrugalski, 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).

Systems identification with GMDH neural networks: a multi-dimensional case

Józef Korbicz, Marcin Mrugalski, Eugen Arinton, 2003, ICANNGA.

A predictive actuator fault-tolerant control strategy under input and state constraints

Didier Theilliol, Marcin Witczak, Marcin Mrugalski, 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

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

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

Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system.

Marcin Witczak, Christophe Aubrun, Marcel Luzar, 2016, ISA transactions.

Conclusions and Future Research Directions

Marcin Mrugalski, 2014 .

Sieci neuronowe typu GMDH w diagnostyce systemów przemysłowych

Józef Korbicz, Marcin Mrugalski, Eugen Arinton, 2002 .

MLP in Robust Fault Detection of Static Non-linear Systems

Marcin Mrugalski, 2014 .

A robust ℋ∞ observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine

Damiano Rotondo, Vicenç Puig, Marcin Witczak, 2015, 2015 23rd Mediterranean Conference on Control and Automation (MED).

A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults

Marcin Witczak, Marcin Mrugalski, Mariusz Buciakowski, 2018, Neural Computing and Applications.

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

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

Confidence estimation of GMDH neural networks and its application in fault detection systems

Józef Korbicz, Marcin Mrugalski, J. Korbicz, 2008, Int. J. Syst. Sci..

ROBUST FAULT DETECTION VIA GMDH NEURAL NETWORKS

Józef Korbicz, Ron J. Patton, Marcin Mrugalski, 2005 .

Fault Detection with Dynamic GMDH Neural Networks: Application to the DAMADICS Benchmark Problem

Marcin Mrugalski, Eugen Arinton, Józer Korbicz, 2003 .

DESIGNING STATE-SPACE MODELS WITH NEURAL NETWORKS

Thomas Parisini, Józef Korbicz, Marcin Mrugalski, 2002 .

A Fuzzy Logic Approach to Remaining Useful Life Estimation of Ball Bearings

Ralf Stetter, Marcin Witczak, Bogdan Lipiec, 2020, KKA.

GMDH Neural Networks

Józef Korbicz, Marcin Mrugalski, 2011 .

Robust fault diagnosis via parameter identification of dynamical systems

Józef Korbicz, Marcin Mrugalski, 2009, 2009 European Control Conference (ECC).

Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks

Józef Korbicz, Marcin Mrugalski, 2007, ICANNGA.

A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph

Dongmei Fu, Tao Yang, Jintao Meng, 2020, Complex..

Dynamic GMDH Type Neural Networks

Józef Korbicz, Marcin Mrugalski, Eugen Arinton, 2003 .

An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace

Józef Korbicz, Marcin Witczak, Marcel Luzar, 2011, 2011 16th International Conference on Methods & Models in Automation & Robotics.

An H∞ approach to fault estimation of non-linear systems: Application to one-link manipulator

Marcin Witczak, Marcin Mrugalski, Mariusz Buciakowski, 2014, 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR).

Fault diagnosis of an automated guided vehicle with torque and motion forces estimation: A case study.

Marcin Witczak, Marcin Mrugalski, Marcin Pazera, 2020, ISA transactions.

A GMDH neural network-based approach to robust fault diagnosis : Application to the DAMADICS benchmark problem

Józef Korbicz, Marcin Witczak, Ron J. Patton, 2006 .

Designing of Dynamic Neural Networks

Marcin Mrugalski, 2014 .

Robust UIO Design for an Actuator Fault Identification

Marcin Mrugalski, Piotr Witczak, P. Witczak, 2016 .

A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults

Marcin Witczak, Marcin Mrugalski, Marcin Pazera, 2017, Neural Computing and Applications.

An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection

Marcin Mrugalski, M. Mrugalski, 2013, Int. J. Appl. Math. Comput. Sci..

APPLICATION OF THE MLP NEURAL NETWORK TO THE ROBUST FAULT DETECTION

Józef Korbicz, Marcin Mrugalski, 2006 .

GMDH Networks in Robust Fault Detection of Dynamic Non-linear Systems

Marcin Mrugalski, 2014 .

Robust Fault Detection Using Zonotope-Based GMDH Neural Network

Marcin Mrugalski, M. Mrugalski, 2014 .

Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks

Józef Korbicz, Marcin Witczak, Marcin Mrugalski, 2013, IWANN.

Procedural Method for Fast Table Mountains Modelling in Virtual Environments

Slawomir Nikiel, Korneliusz Warszawski, Marcin Mrugalski, 2019, Applied Sciences.

Health-aware fault-tolerant control of multiple cooperating autonoumous vehicles

Marcin Witczak, Bogdan Lipiec, Marcin Mrugalski, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A fuzzy logic approach to remaining useful life control and scheduling of cooperating forklifts

Arkadiusz Gola, Marcin Witczak, Grzegorz Bocewicz, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).