Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model

Abstract In this paper, an adaptive fuzzy control scheme is addressed for switched nonlinear systems with uncertain dead-zone, unknown nonlinearities and immeasurable states. A novel proposed mode-dependent fuzzy dead-zone model (MFDM) can not only describe the uncertain dead-zone, but also overcome the common fuzzy dead-zone model (CFDM) problems caused by disconnected parameters and conservativeness. The unknown functions are approximated by fuzzy logic systems. To estimate the immeasurable states, a switched fuzzy state observer is constructed. By using multiple Lyapunov function and defuzzifying for MFDM, a new mode-dependent fuzzy controller is proposed to assure the boundedness of the closed-loop system and the desired tracking performance. The feasibility of the presented control technique is proved by simulation examples.

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