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Dynamic Walking of Eight DOF Biped using Neural Net Controller

机译:使用神经网络控制器的动态步行八分行

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This paper deals with the design of a Neural Controller for dynamic walking of an eight degree of freedom biped robot. An eight DOF biped has very complex system dynamics. It has been shown that the neural controller gives much better performance than the conventional PD controller when the plant dynamic is complex and disturbances cannot be modeled. A two-layer neural net (NN) controller with standard back propagation weight tuning has been proposed in this paper for dynamic walking of the biped. Quantitative comparison shows the superiority of NN controller over PD controller.
机译:本文涉及一种神经控制器的设计,用于动态行走八大自由的机器人。八家DOF Biped具有非常复杂的系统动态。已经表明,当工厂动态复杂并且无法建模干扰时,神经控制器的性能比传统的PD控制器更好。本文提出了一种具有标准回到繁殖重量调谐的双层神经网络(NN)控制器,用于动态地走路。定量比较显示了NN控制器在PD控制器上的优越性。

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