On fuzzy control of nonlinear systems with large parameter uncertainties: Fuzzy scheduler approach

H. K. Lam, Hung Fat Frank Leung, P. K S Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper presents the design of a fuzzy scheduler which is robust enough to, one, stabilize an uncertain nonlinear system subject to large parameter uncertainties, and two, give an acceptable closed-loop performance. Based on a fuzzy model with parameter uncertainty information, a stability criterion which involves solving an Algebraic Riccati Equation (ARE) is derived, and fuzzy controllers corresponding to the vertices of the operation parameter space (vertex fuzzy controllers) are designed. It is shown that the actual control signal can be interpolated by a proposed fuzzy scheduler from the control signals of vertex fuzzy controllers.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Comp Soc
Pages364-369
Number of pages6
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4) - New Orleans, LA, United States
Duration: 9 Nov 199714 Nov 1997

Conference

ConferenceProceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)
Country/TerritoryUnited States
CityNew Orleans, LA
Period9/11/9714/11/97

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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