Abstract
This brief addresses the adaptive fault-tolerant control problem for a class of uncertain nonlinear systems with quantized states and sensor faults. For the unknown terms, the radial basis function neural networks (RBFNNs) are adopted to approximate them online, and the adaptive fault-control scheme is developed to resolve the discontinuity caused by the state quantization. The proposed controller with the uniform quantizer ensures that all the closed-loop signals remain semi-globally uniformly bounded. Finally, a simulation example is presented to examine the effectiveness of the proposed control scheme.
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