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Adaptive-backstepping position control based on recurrent-fwnns for mobile manipulator robot

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Adaptive-backstepping position control based on recurrent-fwnns for mobile manipulator robot

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In this paper, we proposed an adaptive-backstepping position control system for mobile manipulator robot (MMR). By applying recurrent fuzzy wavelet neural networks (RFWNNs) in the position-backstepping controller, the unknown-dynamics problems of the MMR control system are relaxed.

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Nội dung Text: Adaptive-backstepping position control based on recurrent-fwnns for mobile manipulator robot

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