Fuzzy Model Based Indirect Adaptive Control Design for Nonlinear Systems with a Dead-zone
نویسندگان
چکیده
Abstract: In this paper, we present a fuzzy model based indirect adaptive control scheme for a class of nonlinear systems with a dead-zone. The Takagi-Sugeno (TS) fuzzy model is used for representing a nonlinear system, where the parameters of the fuzzy model are updated online according to Lyapunov stability theorem. An inverse functions are cascaded with the plant to cancel the effects of deadzone, and the dead-zone slopes in both positive and negative sides are assumed to be the same. In addition, the proposed adaptive fuzzy controller ensures the stability of the closed-loop system with dead-zone and the output is forced to follow the desired reference input. An inverted pendulum system is used to illustrate the effectiveness of the proposed method. The simulation can demonstrate the validity of the proposed scheme and achieve satisfy simulation results.
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