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A lower extremity exoskeleton is designed and a novel control method based on RBF neural network identification is proposed to guarantee the exoskeleton identifies the pilot's motion intention independently. The propose method considers the pilot wearing assistance exoskeleton as an unknown system, and the RBF neural network is employed to identify the system's motion trajectories and the identification...
To the strong nonlinearity and parameter uncertainty in robot manipulator control, a novel self-adaptive PID controller based on RBF neural network on-line identification for the robot manipulator is proposed in this paper, which has solved the weak adaptive ability and poor robustness of the conventional PID control. The control scheme designed in this paper is realized by two kinds of neural networks,...
In this paper, to improve the control performance of hydraulic parallel robot, we develop a model reference adaptive PID control based on radial basis function (RBF) neural network. To compensate for the asymmetry of the hydraulic actuator, we adopt model reference adaptive control strategy. Moreover, a RBF neural network is used to identify the hydraulic servo system on-line and then regulate the...
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