Design of adaptive fuzzy-based tracking control of input time delay nonlinear systems

This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error is introduced to facilitate handling of the time delay. Approximation capability of fuzzy logic systems are exploited to provide approximations of unknown nonlinear functions that appear in the tracking controller. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Simulation examples are provided to validate the effectiveness of the proposed controller in achieving desired tracking with bounded control signals.

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