Stabilization of Discrete-Time Nonlinear Control Systems-Multiple Fuzzy Lyapunov Function Approach
This paper deals with the stabilization problem for discrete-time nonlinear systems that are represented by the Takagi -Sugeno fuzzy model. By the multiple fuzzy Lyapunov function and the three-index algebraic combination technique, a new stabilization condition is developed. The condition is expressed in the form of linear matrix inequalities (LMIs) and proved to be less conservative than existing results in the literature. Finally, a truck-trailer system is given to illustrate the novelty of the proposed approach.
T-S fuzzy model linear matrix inequality (LMI) Lyapunov function stabilization nonlinear systems
Shih-Wei Kau Xin-Yuan Huang Sheng-Yu Shiu Chun-Hsiung Fang
Department of Electrical Engineering,National Kaohsiung University of Applied Sciences,Kaohsiung 807,TAIWAN
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
29-34
2009-06-22(万方平台首次上网日期,不代表论文的发表时间)