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In this paper, a recurrent neural network (RNN) control scheme is proposed for a biped robot trajectory tracking system. An adaptive online training algorithm is optimized to improve the transient response of the network via so-called conic sector theorem. Furthermore, L2-stability of weight estimation error of RNN is guaranteed such that the robustness of the controller is ensured in the presence...
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