Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/78919
Type: | Journal article |
Title: | Robust fuzzy decentralized control for nonlinear large-scale systems with parametric uncertainties |
Author: | Tong, S. Shi, P. Al-Madfai, H. |
Citation: | Journal of Intelligent and Fuzzy Systems, 2008; 19(2):85-101 |
Publisher: | IOS Press |
Issue Date: | 2008 |
ISSN: | 1064-1246 |
Statement of Responsibility: | Shaocheng Tong, Peng Shi and Hasan Al-Madfai |
Abstract: | This paper addresses the problem of robust fuzzy decentralized control for a class of nonlinear large-scale systems in the presence of parametric uncertainties. The Takagi-Sugeno (T-S) fuzzy system is adopted for modeling such systems. Both fuzzy state feedback decentralized controller and fuzzy observer-based decentralized controller are developed. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and formulated in the format of linear matrix inequalities (LMIs). The effectiveness of the proposed fuzzy controller is finally demonstrated through numerical simulations on a two-machine interconnected system. |
Keywords: | Fuzzy large-scale systems fuzzy observer fuzzy control robust stability |
Rights: | © 2008 – IOS Press and the authors. All rights reserved |
Published version: | http://iospress.metapress.com/content/32040487u2604l25/ |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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