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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...
Human Lower-limb Exoskeleton has recently received a great deal of attention, because of providing motion similar to human walking and reducing burden on both patients and therapists. In this paper the design of the control system for HLE which is actuated by electro-hydraulic servo system is presented. To improve the flexibility of the system, a control algorithms called sliding mode variable structure...
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