Output-feedback control of uncertain nonlinear systems using direct adaptive fuzzy cerebellar model articulation controller

Wei Min Hsieh, Chin Ming Hong, Hong Jian Zhon, Yih Guang Leu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A direct adaptive fuzzy cerebellar model articulation controller (CMAC) is developed for a class of uncertain nonlinear systems. Only the system output measurement is available for feedback. The adjustable weighting factors of the direct adaptive fuzzy CMAC are updated online by an adaptive law. Strictly positive real Lyapunov theory is used to verify the stability of the closed-loop system, and the proposed control scheme guarantees that all signals involved are bounded and the system output asymptotically tracks the desired output. Finally, simulation results demonstrate the effectiveness of the proposed control scheme.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages847-852
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: 2007 Oct 72007 Oct 10

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/TerritoryCanada
CityMontreal, QC
Period2007/10/072007/10/10

ASJC Scopus subject areas

  • General Engineering

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