Pregled bibliografske jedinice broj: 159935
Neural Network Based Sliding Mode Control of Electronic Throttle
Neural Network Based Sliding Mode Control of Electronic Throttle // Engineering applications of artificial intelligence, 18 (2005), 951-961 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 159935 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Neural Network Based Sliding Mode Control of Electronic Throttle
Autori
Barić, Miroslav ; Petrović, Ivan ; Perić, Nedjeljko
Izvornik
Engineering applications of artificial intelligence (0952-1976) 18
(2005);
951-961
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
electronic throttle control; uncertainty; sliding mode; neural networks; adaptive control
Sažetak
In this paper a neural network based sliding mode controller for electronic throttle is proposed. Electronic throttle is considered as an uncertain linear system. The uncertainties, which consist of an unknown friction and spring torque are estimated by the neural network whose parameters are adapted in an on-line fashion. Control and adaptive laws guarantee the boundedness of all signals in the system. Presented experimental results demonstrate the efficiency and robustness of the proposed control scheme.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus