Neural network control of robot manipulators

被引:73
作者
Lewis, FL
机构
[1] Automation and Robotics Research Institute, University of Texas at Arlington, Ft. Worth, TX 76118
来源
IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1996年 / 11卷 / 03期
关键词
D O I
10.1109/64.506755
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
IN THIS ARTICLE, THE AUTHOR DESCRIBES NEURAL NETWORK CONTROLLERS FOR ROBOT MANIPULATORS IN A VARIETY OF APPLICATIONS, INCLUDING POSITION CONTROL, FORCE CONTROL, PARALLEL-LINK MECHANISMS, AND DIGITAL NEURAL NETWORK CONTROL. THESE ''MODEL-FREE'' CONTROLLERS OFFER A POWERFUL AND ROBUST ALTERNATE TO ADAPTIVE CONTROL.
引用
收藏
页码:64 / 75
页数:12
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