Neural Network-based Control of Neuromuscular Electrical Stimulation With Input Saturation

被引：6
|
作者：
Yang, Ruzhou [1 ]
de Queiroz, Marcio [1 ]
Li, Meng [2 ]
机构：
[1] Louisiana State Univ, Dept Mech & Ind Engn, Baton Rouge, LA 70803 USA
[2] Fiat Chrysler Automobiles, Auburn Hills, MI 48326 USA
来源：
IFAC PAPERSONLINE | 2019年 / 51卷 / 34期
关键词：
Neuromuscular electrical stimulation; neural network-based control; input saturation; NONLINEAR-SYSTEMS; TRACKING; DELAY;
D O I：
10.1016/j.ifacol.2019.01.061
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a new neural network-based controller for the lower leg limb motion tracking problem that is inherent to neuromuscular electrical stimulation systems. The control accounts for both parametric and functional uncertainties in the system and is capable of handling input saturation. The resulting control law guarantees practical tracking for the limb angular position. The control performance is demonstrated via a simulation. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：170 / 175
页数：6
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