Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay

In this paper, the problem of adaptive optimized tracking control design is addressed for a class of nonlinear systems in strict-feedback form. The system under consideration contains input delay and has unmeasurable and restricted states within predefined compact sets. First, neural networks (NNs)...

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