Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1445
Title: Stable and robust fuzzy control for uncertain nonlinear systems
Authors: Lam, HK
Leung, FHF 
Tam, PKS
Keywords: Fuzzy control
Nonlinear system robustness
Parameter uncertainty
Stability
Issue Date: Nov-2000
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, Nov. 2000, v. 30, no. 6, p. 825-840 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
Abstract: This paper presents the stability and robustness analysis for multivariable fuzzy control systems subject to parameter uncertainties based on a single-grid-point (SGP) approach. To perform the analysis, we represent a multivariable nonlinear system using a TS-fuzzy plant model. Three design approaches of fuzzy controllers are introduced to close the feedback loop. By estimating the matrix measures of the system parameters and parameter uncertainties, stability and robustness conditions for different cases are derived. Application examples will be given to show the design procedures and the merits of the proposed fuzzy controller.
URI: http://hdl.handle.net/10397/1445
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/3468.895910
Rights: © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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