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In this paper, an identifier-based adaptive neural dynamic surface control (IANDSC) is proposed for the uncertain DC–DC buck converter system with input constraint. Based on the analysis of the effect of input constraint in the buck converter, the neural network compensator is employed to ensure the controller output within the permissible range. Subsequently, the constrained adaptive control scheme...
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