Robust stabilization of uncertain T--S fuzzy time-delay systems with exponential estimates

Authors:
Baoyong Zhang;James Lam;Shengyuan Xu;Zhan Shu
Affiliations:
School of Automation, Nanjing University of Science and Technology, Nanjing, 210094 Jiangsu, PR China;Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong;School of Automation, Nanjing University of Science and Technology, Nanjing, 210094 Jiangsu, PR China;Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong
Venue:
Fuzzy Sets and Systems
Year:
2009

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Abstract

This paper deals with the problem of robust stabilization for uncertain Takagi-Sugeno (T-S) fuzzy systems with constant time delays. The purpose is to design a state-feedback fuzzy controller such that the closed-loop system is robustly exponentially stable with a prescribed decay rate. Sufficient conditions for the solvability of this problem are presented in terms of linear matrix inequalities (LMIs). By using feasible solutions of these LMIs, desired fuzzy controllers are designed and their corresponding exponential estimates are given. In addition, the main results of this paper are explicitly dependent on the decay rate. This enables one to design fuzzy controllers by freely selecting decay rates according to different practical conditions. Two numerical examples are provided finally to demonstrate the effectiveness of the proposed design methods.