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Marcin Mrugalski
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Books and Theses
- 2014
- [b1]Marcin Mrugalski
:
Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis. Studies in Computational Intelligence 510, Springer 2014, ISBN 978-3-319-01546-0, pp. 1-167
Journal Articles
- 2023
- [j12]Marcin Mrugalski
Identification and health-aware economic control of production systems: A fuzzy logic max plus algebraic approach. Eng. Appl. Artif. Intell. 120: 105802 (2023) - 2022
- [j11]Norbert Kukurowski, Marcin Mrugalski, Marcin Pazera, Marcin Witczak:
Fault-Tolerant Tracking Control for a Non-Linear Twin-Rotor System Under Ellipsoidal Bounding. Int. J. Appl. Math. Comput. Sci. 32(2): 171-183 (2022) - [j10]Bogdan Lipiec, Marcin Mrugalski, Marcin Witczak, Ralf Stetter:
Towards a health-aware fault tolerant control of complex systems: A vehicle fleet case. Int. J. Appl. Math. Comput. Sci. 32(4) (2022) - [j9]Bartosz Kwapisz, Michal Doligalski
Monitoring of Measuring Devices Using a Programmable Logic Controller and a Dedicated Desktop Application. Sensors 22(23): 9313 (2022) - 2021
- [j8]Sylwia Wlodarczak
Flow Rate Control by Means of Flow Meter and PLC Controller. Sensors 21(18): 6153 (2021) - 2020
- [j7]Tao Yang
A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph. Complex. 2020: 8954341:1-8954341:18 (2020) - [j6]Marcin Pazera
A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults. Neural Comput. Appl. 32(2): 379-389 (2020) - 2017
- [j5]Piotr Witczak, Krzysztof Patan
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling. Neurocomputing 250: 65-75 (2017) - 2015
- [j4]Marcin Witczak
Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace. Neural Process. Lett. 42(1): 71-87 (2015) - 2013
- [j3]Marcin Mrugalski
An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection. Int. J. Appl. Math. Comput. Sci. 23(1): 157-169 (2013) - 2008
- [j2]Marcin Mrugalski
Confidence estimation of the multi-layer perceptron and its application in fault detection systems. Eng. Appl. Artif. Intell. 21(6): 895-906 (2008) - [j1]Józef Korbicz
Confidence estimation of GMDH neural networks and its application in fault detection systems. Int. J. Syst. Sci. 39(8): 783-800 (2008)
Conference and Workshop Papers
- 2022
- [c23]Bogdan Lipiec
Remaining Useful Life Prediction of the Li-Ion Batteries. DPS 2022: 230-241 - [c22]Norbert Kukurowski
A Predictive Fault-Tolerant Tracking Control for Constrained Dynamic Systems. DPS 2022: 410-422 - 2021
- [c21]Bogdan Lipiec, Marcin Mrugalski, Marcin Witczak:
Health-aware fault-tolerant control of multiple cooperating autonoumous vehicles. FUZZ-IEEE 2021: 1-7 - [c20]Marcin Witczak, Lothar Seybold, Grzegorz Bocewicz
A fuzzy logic approach to remaining useful life control and scheduling of cooperating forklifts. FUZZ-IEEE 2021: 1-8 - 2020
- [c19]Marcin Witczak, Bogdan Lipiec
Fuzzy modelling and robust fault-tolerant scheduling of cooperating forklifts. FUZZ-IEEE 2020: 1-10 - [c18]Marcin Witczak
A Fuzzy Logic Approach to Remaining Useful Life Estimation of Ball Bearings. KKA 2020: 1411-1423 - 2019
- [c17]Marcin Pazera
A Neural Network-Based Approach to Sensor and Actuator Fault-Tolerant Control. IWANN (2) 2019: 515-526 - 2018
- [c16]Marcin Witczak
Robust Time-Varying Sensor Bias Estimation for Bounded-Error Systems: Application to the Wind Turbine Benchmark. MED 2018: 679-684 - 2017
- [c15]Marcin Pazera
Neural Network-Based Simultaneous Estimation of Actuator and Sensor Faults. IWANN (1) 2017: 305-316 - [c14]Marcin Witczak
A predictive actuator fault-tolerant control strategy under input and state constraints. MED 2017: 442-447 - [c13]Marcin Pazera
Simultaneous estimation of multiple actuator anc sensor faults for Takagi-Sugeno fuzzy systems. MMAR 2017: 939-944 - 2015
- [c12]Piotr Witczak, Marcin Mrugalski
A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation. IWANN (1) 2015: 535-548 - [c11]Marcin Witczak
A robust ℋ∞ observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine. MED 2015: 162-167 - 2014
- [c10]Marcel Luzar
Robust fault identification of a polytopic LPV system with neural network. ISIC 2014: 1614-1619 - [c9]Marcin Witczak
An H∞ approach to fault estimation of non-linear systems: Application to one-link manipulator. MMAR 2014: 456-461 - 2013
- [c8]Marcin Mrugalski
Designing of State-Space Neural Model and Its Application to Robust Fault Detection. ICAISC (1) 2013: 140-149 - [c7]Marcin Witczak
Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks. IWANN (1) 2013: 96-105 - [c6]Marcin Mrugalski, Marcin Witczak:
Robust unknown input filter for fault diagnosis of non-linear systems. MMAR 2013: 172-177 - 2011
- [c5]Marcel Luzar
An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace. MMAR 2011: 204-209 - 2009
- [c4]Marcin Mrugalski, Józef Korbicz
Robust fault diagnosis via parameter identification of dynamical systems. ECC 2009: 2923-2928 - 2007
- [c3]Marcin Mrugalski, Józef Korbicz
Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks. ICANNGA (2) 2007: 19-26 - 2004
- [c2]Józef Korbicz
Confidence Estimation of GMDH Neural Networks. ICAISC 2004: 210-216 - 2003
- [c1]Marcin Mrugalski, Eugen Arinton, Józef Korbicz:
Systems identification with GMDH neural networks: a multi-dimensional case. ICANNGA 2003: 115-120
Coauthor Index
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