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In this study, a novel online adaptive dynamic programming (ADP)-based algorithm is developed for solving the optimal control problem of affine non-linear continuous-time systems with unknown internal dynamics. The present algorithm employs an observer-critic architecture to approximate the Hamilton-Jacobi-Bellman equation. Two neural networks (NNs) are used in this architecture: an NN state observer...
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