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초록
영어
This paper deals with the problem of tracking control for Takagi-Sugeno fuzzy model. An LMI (Linear Matrix Inequality) formulation is suggested to make possible the convergence of the state vector of the continuous-time system to a desired one using a new approach, called MultiQuadratic Fuzzy Lyapunov (MQFL). A fourth order unstable nonlinear system is studied to illustrate the efficiency of this formulation and to compare the corresponding simulation results with the obtained stability conditions based on the quadratic Lyapunov function.
목차
Abstract
1. Introduction
2. Takagi-Sugeno fuzzy model representation
3. Stability conditions based on the quadratic Lyapunov function
4. Stability conditions based on the MQFL function
5. Numerical example
6. Conclusion
7. Refferences
1. Introduction
2. Takagi-Sugeno fuzzy model representation
3. Stability conditions based on the quadratic Lyapunov function
4. Stability conditions based on the MQFL function
5. Numerical example
6. Conclusion
7. Refferences
키워드
저자정보
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자료제공 : 네이버학술정보