World Journal of Modelling and Simulation, 1746-7233, World Academic Union (World Academic Press)

نویسندگان

  • Zhenbin Du
  • Zifang Qu
چکیده

Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems. Firstly, the fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived by the linear matrix inequality. Secondly, the adaptive fuzzy logic systems are constructed, and the modeling errors are eliminated by a compensator based on the adaptive fuzzy logic systems with three adjustable parameters: weights, centers and widths. It is proved that the closed loop system satisfies the anticipant performance. The simulation results demonstrate that the control scheme is effective.

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تاریخ انتشار 2006