Pregled bibliografske jedinice broj: 149295
NEURAL NETWORK BASED SLIDING MODE CONTROL OF ELECTRONIC THROTTLE
NEURAL NETWORK BASED SLIDING MODE CONTROL OF ELECTRONIC THROTTLE // Proceedings of "IFAC Symposium on Advances in Automotive Control" / Glielmo, L. ; Pianese, C. ; Rizzo, G. ; Vasca, F. (ur.).
Salerno, 2004. str. 176-182 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
NEURAL NETWORK BASED SLIDING MODE CONTROL OF ELECTRONIC THROTTLE
Autori
Barić, Miroslav ; Petrović, Ivan ; Perić, Nedjeljko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of "IFAC Symposium on Advances in Automotive Control"
/ Glielmo, L. ; Pianese, C. ; Rizzo, G. ; Vasca, F. - Salerno, 2004, 176-182
Skup
IFAC Symposium on Advances in Automotive Control
Mjesto i datum
Salerno, Italija, 19.04.2004. - 23.04.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
electronic throttle control; uncertainty; sliding mode; neural networks;
Sažetak
In this paper a neural network based sliding mode controller for electronic throttle is proposed. Uncertainties/disturbances consisting of unknown friction and spring torque are approximated with a neural network in an on-line fashion. Control and adaptive laws guarantee the boundedness of all signals in the system. The proposed algorithm is successfully experimentally veri ed, showing a good performance.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
