Adaptive fuzzy logic controller with rule-based changeable universe of discourse for a nonlinear MIMO system

Yi Wang*, Huiwen Deng, Zheng Chen

*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

The accurate input-output universe of discourse (UOD) on which membership functions are defined is hard to acquire, especially for nonlinear multi-input and multi-output (MIMO) systems, and control accuracy will reduce greatly in the steady state due to limited fuzzy control rules. This paper presents a design scheme for the adaptive fuzzy logic controllers to control a MIMO system with on-line changeable input-output UOD of the controller, which could solve two problems mentioned above to a great extent. We obtain fuzzy inference rules that are defined by the error and change of error to describe the variation law of the input-output UOD according to the current trend of the controlled process, so the proper widths of the UOD can be derived from the fuzzy inference rules dynamically in real-time. Simulation results for the nonlinear MIMO system show the effectiveness of the proposed fuzzy logic controller.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Intelligent Systems Design and Applications, ISDA '05
Pages8-13
Number of pages6
Volume2005
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event5th International Conference on Intelligent Systems Design and Applications, ISDA '05 - Wroclaw, Poland
Duration: 8 Sept 200510 Sept 2005

Other

Other5th International Conference on Intelligent Systems Design and Applications, ISDA '05
Country/TerritoryPoland
CityWroclaw
Period8/09/0510/09/05

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