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An adaptive fault-tolerant control strategy is proposed for a class of switched nonlinear systems with unknown functions and unavailable states by using the improved average dwell time technique and backstepping method. We use radial basis function neural networks (RBFNNs) to approximate the unknown functions and a switched nonlinear state observer is designed to estimate the unavailable states. In...
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