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
56 2016 Prediction of corrections for the Polish time scale UTC (PL) using artificial neural networks M Luzar, J Korbicz, Ł Sobolewski, W Miczulski
Bulletin of the Polish Academy of Sciences: Technical Sciences, 589-594-589-594, 2013
20 2013 Actuators and sensors fault diagnosis with dynamic, state-space neural networks M Luzar, A Czajkowski, M Witczak, J Korbicz
2012 17th International Conference on Methods & Models in Automation …, 2012
20 2012 Fault-tolerant control and diagnosis for LPV system with H-infinity virtual sensor M Luzar, M Witczak
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 825-830, 2016
16 2016 A robust fault-tolerant model predictive control for linear parameter-varying systems P Witczak, M Luzar, M Witczak, J Korbicz
2014 19th International Conference on Methods and Models in Automation and …, 2014
11 2014 Robust M Luzar, M Witczak, C Aubrun
Intelligent Systems in Technical and Medical Diagnostics, 125-136, 2014
10 2014 Robust ℌ∞ actuator fault diagnosis and fault-tolerant control for a multi-tank system M Luzar, M Witczak, M Buciakowski, V Puig
2013 Conference on Control and Fault-Tolerant Systems (SysTol), 758-763, 2013
9 2013 Neural-network based robust predictive fault-tolerant control for multi-tank system M Luzar, M Witczak, P Witczak, C Aubrun
2014 European Control Conference (ECC), 276-281, 2014
8 2014 Neural-network based robust FTC: Application to wind turbines M Luzar, M Witczak, J Korbicz, P Witczak
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
8 2014 Robust fault-tolerant control for a multi-tank system M Buciakowski, M Witczak, M Luzar
Pomiary Automatyka Kontrola 60 (1), 39-44, 2014
8 2014 Robust MPC for a non-linear system–a neural network approach M Luzar, M Witczak
Journal of Physics: Conference Series 570 (3), 032002, 2014
6 2014 Robust H∞ actuator fault diagnosis with neural network M Luzar, M Witczak, P Witczak
2013 18th International Conference on Methods & Models in Automation …, 2013
6 2013 LPV system modeling with SSNN toolbox M Luzar, A Czajkowski
2016 American Control Conference (ACC), 3952-3957, 2016
5 2016 Robust fault identification of a polytopic LPV system with neural network M Luzar, M Witczak, M Mrugalski, Z Kański
2014 IEEE International Symposium on Intelligent Control (ISIC), 1614-1619, 2014
5 2014 Prediction of corrections for the Polish time scale UTC (PL) using artificial neural networks: from standards chips to embedded systems on chip M Luzar, Ł Sobolewski, W Miczulski, J Korbitcz, A Díaz Lantanda, ...
Lubrication Science 26 (3), 141-162, 2014
4 2014 A GMDH toolbox for neural networkbased modeling M Luzar, M Witczak
Proc. 8th Int. Workshop on Advanced Control and Diagnosis–ACD 1, 202-206, 2010
4 2010 Development of a Fault-Tolerant Control with MATLAB and its application to the Twin-Rotor System M Luzar, M Witczak, V Puig Cayuela, F Nejjari Akhi-Elarab
7th Workshop on Advanced Control and Diagnosis, 1-8, 2009
4 2009 Sensor-based weightlifting workout assisting system design and its practical implementation M Luzar, A Czajkowski, R Kasperowicz, M Rot, M Semegen, J Korbicz
Journal of Sensors 2019, 1-14, 2019
3 2019 SSNN toolbox for non-linear system identification M Luzar, A Czajkowski
Journal of Physics: Conference Series 659 (1), 012008, 2015
3 2015 Linear parameter-varying two rotor aero-dynamical system modelling with state-space neural network M Luzar, J Korbicz
Artificial Intelligence and Soft Computing: 17th International Conference …, 2018
2 2018 