Inversion of fuzzy neural networks for the reduction of noise in the control loop

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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A robust throttle valve control has always been a attractive problem since throttle by wire systems were established in the mid-nineties. Often in control strategy, a feedforward controller is adopted in which an inverse model is used. Mathematical inversions of models imply a high order of differentiation of the state variables and consequently noise effects. In general, neural networks are a very effective and popular tool mostly used for modeling. The inversion of a neural network produces real possibilities to involve the networks in the control problem schemes. This paper presents a control strategy based upon an inversion of a feed forward trained local linear model tree. The local linear model tree is realized through a fuzzy neural network. Simulated results from real data measurements are presented in which two control loops are explicitly compared.
OriginalspracheEnglisch
TitelIntelligent Manufacturing Systems
HerausgeberCarlos Eduardo Pereira, Oleg Zaikin, Zbigniew A. Banaszak
Anzahl der Seiten6
Band9
VerlagInternational Federation of Automatic Control
Erscheinungsdatum2008
Seiten157-162
ISBN (Print)978-3-902661-40-1
DOIs
PublikationsstatusErschienen - 2008
Extern publiziertJa
Veranstaltung9th International Federation on Automatic Control Workshop on Intelligent Manufacturing Systems - 2008 - Szczecin, Polen
Dauer: 09.10.200810.10.2008
Konferenznummer: 9
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