Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

A robust throttle valve control has always been an 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
Titel2008 7th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2008
HerausgeberRichard A. Comley
Anzahl der Seiten6
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum01.09.2008
Seiten234-239
Aufsatznummer4798943
ISBN (Print)978-1-4244-2914-1
ISBN (elektronisch)978-1-4244-2915-8
DOIs
PublikationsstatusErschienen - 01.09.2008
Extern publiziertJa
Veranstaltung7th Institute of Electrical and Electronics Engineers International Conference on Cybernetic Intelligent Systems - CIS2008 - London, Großbritannien / Vereinigtes Königreich
Dauer: 09.09.200810.09.2008
Konferenznummer: 7
http://www.cybernetic.org.uk/cis2008

DOI

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