104
Views
5
CrossRef citations to date
0
Altmetric
Articles

Structure analysis and system design for a class of Mamdani fuzzy controllers

, &
Pages 83-101 | Received 10 Jan 2007, Published online: 24 Jun 2008
 

Abstract

Analytical analysis of the structure of fuzzy controllers is important as it provides insightful information and makes it possible to eliminate or reduce the trial-and-error effort in system design. Most results available in the literature only deal with the fuzzy controllers using up to three input variables (i.e. PI, PD, or PID type with the input space being three dimensional at most). In this paper, we study a class of Mamdani fuzzy controllers whose input space can be arbitrary dimension. We derived mathematically the input–output relation for these fuzzy controllers. We also investigated the bounded-input bounded-output global stability as well as local stability of the fuzzy control systems. Based on the explicit input–output relation and the local stability property, a procedure for designing the fuzzy controllers regulating (nonlinear) plants is proposed. Its effectiveness is demonstrated by a numerical example with computer simulations.

Acknowledgements

This work was supported by National Natural Science Foundation of China (60174015, 60474024) and Specialized Research Fund for Doctoral Program of Higher Education in China (20040003106).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 949.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.