Fuzzy output feedback control via sliding mode observer

This paper proposes a new output feedback method for a class of partial-state measurement nonlinear systems. Only input and output are available, the inner states and the structure are unknown. The design is based on the combination of the state observer with the fuzzy controller. As no any information of the nonlinear system can be used, the observer is model-free. A adaptive fuzzy controller can be used to control the nonlinear system based on the full observed states. By means of Lyapunov-like analysis we determine the stable learning algorithm for the observer-based fuzzy control.

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