A neural network-based robust unknown input observer design: application to wind turbine,
2015,
Piotr Witczak ,
Krzysztof Patan ,
Marcin Witczak ,
Vicenç Puig ,
Józef Korbicz ,
W: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Paris, Francja, Amsterdam: Elsevier, 2015, IFAC-PapersOnLine, Vol. 48, iss. 21, s. 263--270,
Słowa kluczowe: Takagi-Sugeno systems, artificial neural networks, fault diagnosis, observer, robustness, sector non-linearities, system identification, unknown inputs
Kod: KON-ANG
BibTeX
(pkt. 0)
DOI: 10.1016/j.ifacol.2015.09.538