Abstract
In this paper, the problem of adaptive fault-tolerant tracking control for strict-feedback nonlinear systems is investigated. By using the Nussbaum function technique, the difficulty caused by input quantization and infinite number of time-varying actuator faults is handled and a novel fuzzy adaptive control scheme is designed without estimating a lower bound on the quantizer parameter and the time-varying effectiveness factor. Based on the Lyapunov stability theory, it is proven that all the signals in the resulting closed-loop system are bounded and the tracking error satisfies the desired performance all the time. Simulation results are presented to verify the effectiveness of the proposed controller.
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