Carrying Extreme Exoskeleton Control Based on Quasi-Newton Iterative Learning Rule
YANG Xiuxia
WANG Ting
YANG Zhiyong
Abstract：To improve the control velocity and accuracy ,using the characteristic of the carrying system repeat move‐ment ,according to quasi‐Newton iterative learning rule ,the time‐varying iterative learning operator of the lower extreme ex ‐oskeleton is constructed .The human‐machine interactive force is considered .Simulation results test the feasibility and validi‐ty of this method .
Keywords：carrying extreme exoskeletonquasi-Newton iterative learning rulehuman-machine interactive force
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 646-648 )