Fuzzy control for a class of complex nonlinear systems
一类复杂非线性系统的模糊控制

Combining fuzzy Takagi-Sugeno(T-S)model with adaptive fuzzy logic systems,we present a tracking control scheme for a class of complex nonlinear systems.Firstly,the fuzzy T-S model is used to approximate to the nonlinear systems,and an observer is designed to generate the system states.Secondly,the modeling errors and the uncertainty are eliminated by a compensator based on the adaptive time-delay fuzzy logic systems with three adjustable parameters:weights,centers and widths.It is proved that the closed loop system satisfies the desired tracking requirements. The simulation results demonstrate the efficacy of thee control scheme.