On design of stable and robust fuzzy observer-controller for uncertain nonlinear systems based on a 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

2 Citations (Scopus)


This paper presents the stability and robustness analyses, and design of fuzzy observer-controllers for uncertain multivariable nonlinear systems of which the system states are inaccessible. To proceed with the analysis, the uncertain system is represented by a fuzzy model with uncertain parameters. Based on this model, under a single-grid-point (SGP) approach, a fuzzy observer-controller is designed to estimate the system states and to close the feedback loop. A simple stability criterion is derived by estimating some norms of the system parameters and the matrix measure, and a robust area in the uncertain parameter space is defined. The design methodology of a multiple-grid-point (MGP) fuzzy observer-controller for nonlinear systems subjected to large parameter uncertainties is developed based on the analysis results of the SGP approach.
Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
Number of pages8
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 IEEE International Symposium on Industrial Electronics, ISIE. Part 3 (of 3) - Guimaraes, Portugal
Duration: 7 Jul 199711 Jul 1997


ConferenceProceedings of the 1997 IEEE International Symposium on Industrial Electronics, ISIE. Part 3 (of 3)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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