Controller design for Takagi-Sugeno Fuzzy Systems with Uncertainties

Abstract

This paper discusses robust stabilization for fuzzy systems with uncertainties in Takagi-Sugano fuzzy model. In actual system control, model errors always exist in system parameters obtained through system identification. Therefore, in order to improve control quality of a fuzzy controller, it is necessary to consider a control design for the fuzzy systems with the uncertainties of the system parameters. In this paper, we propose a new controller based on Lyapunov function that includes integral functions of membership functions for fuzzy system with uncertainties.