引用本文: | 吴怀宇,周兆英,熊沈蜀.D型迭代学习控制及其在FNS肢体运动控制系统中的应用(英文)[J].控制理论与应用,2001,18(3):409~413.[点击复制] |
WU Huai-yu,ZHOU Zhao-ying,XIONG Shen-shu.D-Type Iterative Learning Control with Application to FNS Limb Motion Control System[J].Control Theory and Technology,2001,18(3):409~413.[点击复制] |
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D型迭代学习控制及其在FNS肢体运动控制系统中的应用(英文) |
D-Type Iterative Learning Control with Application to FNS Limb Motion Control System |
摘要点击 1333 全文点击 1204 投稿时间:1999-10-26 修订日期:2000-09-29 |
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DOI编号 10.7641/j.issn.1000-8152.2001.3.017 |
2001,18(3):409-413 |
中文关键词 迭代学习控制 收敛性 肢体运动控制 FNS 生物医学工程 |
英文关键词 iterative learning control convergence limb motion control FNS biomedical engineering |
基金项目 |
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中文摘要 |
给出了离散系统D 型迭代学习控制算法收敛的一种充分条件, 并加以证明. 采用D型迭代学习控制算法, 对基于功能性神经肌肉电刺激的曲腕和曲肘运动进行了临床实验研究, 结果表明, D型迭代学习算法改善了FNS肢体运动控制的跟踪性能, 曲肘和曲腕运动轨迹平滑、稳定, 并且刺激控制脉冲变化平缓, 受试者无任何不良生理反应. |
英文摘要 |
A new sufficient condition proof for the convergence of D type iterative learning control algorithm is provided and the clinical experiments applied to the control of both elbow flexion and wrist flexion with function neuromuscular stimulation (FNS) is given by means of D type iterative learning control method. The results of clinical studies have demonstrated that D type iterative learning control algorithm is suitable for improving the dynamic response characteristics and stabilizing the limb motion. Furthermore, the stimulated patient does not have any bad physiological reactions because the output electrical stimulation pluses vary gently. |