Fuzzy control based on reinforcement learning for voice coil motor

Tzong-Shi Liu, Wen Kuei Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Dealing with voice coil motors, this paper presents reinforcement learning based fuzzy control, which incorporates characteristics of reinforcement learning into fuzzy control. Fuzzy control has excellent characteristics of dealing with model uncertainty and nonlinearity. To complement and improve fuzzy control, reinforcement learning is used to process rough feedback signals. This work constructs fuzzy rules based model based on input-output data of plants and tune fuzzy membership functions by reinforcement learning.
Original languageEnglish
Title of host publication2005 ICSC Congress on Computational Intelligence Methods and Applications (CIMA 2005)
Place of PublicationNEW YORK
PublisherIEEE
Pages264-269
Number of pages6
ISBN (Print)1-4244-0020-1
StatePublished - Dec 2005
Event ICSC Congress on Computational Intelligence Methods and Applications - Istanbul, Turkey
Duration: 15 Dec 200517 Dec 2005

Conference

Conference ICSC Congress on Computational Intelligence Methods and Applications
CountryTurkey
City Istanbul
Period15/12/0517/12/05

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