Systems identification with GMDH neural networks: a multi-dimensional case. - Marcin Mrugalski; Eugen Arinton; Józef Korbicz (ICANNGA, 2003)

Confidence Estimation of GMDH Neural Networks. - Józef Korbicz; Mihai F. Metenidis; Marcin Mrugalski; Marcin Witczak (ICAISC, 2004)

Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks. - Marcin Mrugalski; Józef Korbicz (ICANNGA (2), 2007)

Confidence estimation of the multi-layer perceptron and its application in fault detection systems. - Marcin Mrugalski; Marcin Witczak; Józef Korbicz (Eng. Appl. Artif. Intell., 2008)

Confidence estimation of GMDH neural networks and its application in fault detection systems. - Józef Korbicz; Marcin Mrugalski (Int. J. Syst. Sci., 2008)

Robust fault diagnosis via parameter identification of dynamical systems. - Marcin Mrugalski; Józef Korbicz (ECC, 2009)

An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace. - Marcel Luzar; Marcin Mrugalski; Marcin Witczak; Józef Korbicz (MMAR, 2011)

Designing of State-Space Neural Model and Its Application to Robust Fault Detection. - Marcin Mrugalski (ICAISC (1), 2013)

Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks. - Marcin Witczak; Marcin Mrugalski; Józef Korbicz (IWANN (1), 2013)

Robust unknown input filter for fault diagnosis of non-linear systems. - Marcin Mrugalski; Marcin Witczak (MMAR, 2013)

An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection. - Marcin Mrugalski (Int. J. Appl. Math. Comput. Sci., 2013)

Robust fault identification of a polytopic LPV system with neural network. - Marcel Luzar; Marcin Witczak; Marcin Mrugalski; Zbigniew Kanski (ISIC, 2014)

An H∞ approach to fault estimation of non-linear systems: Application to one-link manipulator. - Marcin Witczak; Mariusz Buciakowski; Marcin Mrugalski (MMAR, 2014)

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis - Marcin Mrugalski (Springer, 2014)

A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation. - Piotr Witczak; Marcin Mrugalski; Krzysztof Patan; Marcin Witczak (IWANN (1), 2015)

A robust ℋ∞ observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine. - Marcin Witczak; Vicenç Puig; Damiano Rotondo; Michal de Rozprza-Faygel; Marcin Mrugalski (MED, 2015)

Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace. - Marcin Witczak; Marcin Mrugalski; Józef Korbicz (Neural Process. Lett., 2015)

Neural Network-Based Simultaneous Estimation of Actuator and Sensor Faults. - Marcin Pazera; Marcin Witczak; Marcin Mrugalski (IWANN (1), 2017)

A predictive actuator fault-tolerant control strategy under input and state constraints. - Marcin Witczak; Piotr Witczak; Marcin Mrugalski; Didier Theilliol (MED, 2017)

Simultaneous estimation of multiple actuator anc sensor faults for Takagi-Sugeno fuzzy systems. - Marcin Pazera; Marcin Witczak; Mariusz Buciakowski; Marcin Mrugalski (MMAR, 2017)

A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling. - Piotr Witczak; Krzysztof Patan; Marcin Witczak; Marcin Mrugalski (Neurocomputing, 2017)

Robust Time-Varying Sensor Bias Estimation for Bounded-Error Systems: Application to the Wind Turbine Benchmark. - Marcin Witczak; Marcin Pazera; Vicenç Puig; Marcin Mrugalski (MED, 2018)

A Neural Network-Based Approach to Sensor and Actuator Fault-Tolerant Control. - Marcin Pazera; Marcin Mrugalski; Marcin Witczak; Mariusz Buciakowski (IWANN (2), 2019)

Fuzzy modelling and robust fault-tolerant scheduling of cooperating forklifts. - Marcin Witczak; Bogdan Lipiec; Marcin Mrugalski; Lothar Seybold; Zbigniew Banaszak (FUZZ-IEEE, 2020)

A Fuzzy Logic Approach to Remaining Useful Life Estimation of Ball Bearings. - Marcin Witczak; Bogdan Lipiec; Marcin Mrugalski; Ralf Stetter (KKA, 2020)

A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph. - Tao Yang 010; Dongmei Fu; Jintao Meng 003; Marcin Mrugalski (Complex., 2020)

A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults. - Marcin Pazera; Mariusz Buciakowski; Marcin Witczak; Marcin Mrugalski (Neural Comput. Appl., 2020)

Health-aware fault-tolerant control of multiple cooperating autonoumous vehicles. - Bogdan Lipiec; Marcin Mrugalski; Marcin Witczak (FUZZ-IEEE, 2021)

A fuzzy logic approach to remaining useful life control and scheduling of cooperating forklifts. - Marcin Witczak; Lothar Seybold; Grzegorz Bocewicz; Marcin Mrugalski; Arkadiusz Gola; Zbigniew Banaszak (FUZZ-IEEE, 2021)

Flow Rate Control by Means of Flow Meter and PLC Controller. - Sylwia Wlodarczak; Marek Ochowiak; Michal Doligalski; Bartosz Kwapisz; Andzelika Krupinska; Marcin Mrugalski; Magdalena Matuszak (Sensors, 2021)

A Predictive Fault-Tolerant Tracking Control for Constrained Dynamic Systems. - Norbert Kukurowski; Marcin Mrugalski; Marcin Witczak (DPS, 2022)

Remaining Useful Life Prediction of the Li-Ion Batteries. - Bogdan Lipiec; Marcin Mrugalski; Marcin Witczak (DPS, 2022)

Fault-Tolerant Tracking Control for a Non-Linear Twin-Rotor System Under Ellipsoidal Bounding. - Norbert Kukurowski; Marcin Mrugalski; Marcin Pazera; Marcin Witczak (Int. J. Appl. Math. Comput. Sci., 2022)

Towards a health-aware fault tolerant control of complex systems: A vehicle fleet case. - Bogdan Lipiec; Marcin Mrugalski; Marcin Witczak; Ralf Stetter (Int. J. Appl. Math. Comput. Sci., 2022)

Monitoring of Measuring Devices Using a Programmable Logic Controller and a Dedicated Desktop Application. - Bartosz Kwapisz; Michal Doligalski; Marek Ochowiak; Marcin Mrugalski; Sylwia Wlodarczak; Andzelika Krupinska; Magdalena Matuszak; Szymon Woziwodzki (Sensors, 2022)

Identification and health-aware economic control of production systems: A fuzzy logic max plus algebraic approach. - Marcin Mrugalski (Eng. Appl. Artif. Intell., 2023)