Analysis and design of fuzzy control systems using dynamic fuzzy global models

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)47-62
Journal / PublicationFuzzy Sets and Systems
Volume75
Issue number1
Publication statusPublished - 13 Oct 1995
Externally publishedYes

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0029394276&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(40c02c77-5b98-4c43-a835-4b0c12736513).html

Abstract

A method for analysis and design of a fuzzy controller is developed for a class of fuzzy discrete-time systems. The method is based on a dynamical fuzzy state space model. It is shown that the closed-loop fuzzy system can be represented by a dynamical interval system, and thus the methods of stability analysis in uncertain linear system theory can be used to analyse the global stability of the closed-loop fuzzy system. Some examples are given to illustrate the application of the method. © 1995.

Research Area(s)

  • Control theory, Fuzzy control system design, Fuzzy systems

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Publication fingerprints text

100
Fuzzy System Chemical Engineering
100
Fuzzy Control Chemical Engineering
50
Linear Systems Chemical Engineering
50
System Theory Chemical Engineering
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Citation Format(s)

[ RIS ] [ BibTeX ]
Analysis and design of fuzzy control systems using dynamic fuzzy global models. / Cao, S.G.; Rees, N.W.; Feng, G.
In: Fuzzy Sets and Systems, Vol. 75, No. 1, 13.10.1995, p. 47-62.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review