Stable and robust fuzzy controller for uncertain nonlinear systems based on a multiple-grid-point 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

3 Citations (Scopus)

Abstract

This paper presents the design of a stable and robust fuzzy controller for nonlinear systems subject to large parameter uncertainties based on a multiple-grid-point (MGP) approach. Using a stability criterion derived which involves solving an Algebraic Riccati Equation (ARE), a single-grid-point (SGP) fuzzy controller which can stabilize an uncertain local system in the parameter space can be designed. By combining several fuzzy controllers, a more robust MGP fuzzy controller can be constructed to cover the whole parameter space.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Comp Soc
Pages354-359
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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