计算机与数字工程2016，Vol.44Issue(4)：646-648,3.DOI:10.3969/j.issn.1672-9722.2016.04.019
基于类牛顿学习律的携行外骨骼系统控制
Carrying Extreme Exoskeleton Control Based on Quasi-Newton Iterative Learning Rule
摘要
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 .关键词
携行外骨骼系统/类牛顿学习律/人机作用力Key words
carrying extreme exoskeleton/quasi-Newton iterative learning rule/human-machine interactive force分类
信息技术与安全科学引用本文复制引用
杨秀霞,王亭,杨智勇..基于类牛顿学习律的携行外骨骼系统控制[J].计算机与数字工程,2016,44(4):646-648,3.基金项目
总装预研基金（编号9140A26020313JB14370）资助。 （）
