Regular Papers

International Journal of Control, Automation and Systems 2015; 13(4): 986-994

Published online May 23, 2015

https://doi.org/10.1007/s12555-014-0327-6

© The International Journal of Control, Automation, and Systems

LMI Conditions for Local Stability and Stabilization of Continuous-Time T–S Fuzzy Systems

Dong Hwan Lee, Young Hoon Joo*, and Myung Hwan Tak

Kunsan National University

Abstract

In this paper, we propose linear matrix inequality (LMI) formulations to analyze local stability and design controllers that locally stabilize continuous-time nonlinear systems represented by Takagi–Sugeno (T–S) fuzzy systems. In order to estimate the domain of attraction (DA), the so-called fuzzy Lyapunov function is used to characterize the subsets of the DA as sublevel sets of the Lyapunov function. Quadratic bounds on the time-derivative of the membership functions are employed to derive the main results. Finally, examples are given to illustrate the proposed methods.

Keywords Domain of attraction, linear matrix inequality (LMI), Lyapunov function, nonlinear systems, Takagi–Sugeno (T–S) fuzzy systems.

Article

Regular Papers

International Journal of Control, Automation and Systems 2015; 13(4): 986-994

Published online August 1, 2015 https://doi.org/10.1007/s12555-014-0327-6

Copyright © The International Journal of Control, Automation, and Systems.

LMI Conditions for Local Stability and Stabilization of Continuous-Time T–S Fuzzy Systems

Dong Hwan Lee, Young Hoon Joo*, and Myung Hwan Tak

Kunsan National University

Abstract

In this paper, we propose linear matrix inequality (LMI) formulations to analyze local stability and design controllers that locally stabilize continuous-time nonlinear systems represented by Takagi–Sugeno (T–S) fuzzy systems. In order to estimate the domain of attraction (DA), the so-called fuzzy Lyapunov function is used to characterize the subsets of the DA as sublevel sets of the Lyapunov function. Quadratic bounds on the time-derivative of the membership functions are employed to derive the main results. Finally, examples are given to illustrate the proposed methods.

Keywords: Domain of attraction, linear matrix inequality (LMI), Lyapunov function, nonlinear systems, Takagi–,Sugeno (T–,S) fuzzy systems.

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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