Contour control of mechatronic servo systems using chaotic neural networks

被引：0
|
作者：
Kim, SH [1 ]
Choi, WY [1 ]
Chai, CH [1 ]
Lee, SJ [1 ]
Choi, HG [1 ]
机构：
[1] Kumoh Natl Univ Tech, Sch Elect Engn, Kumi, South Korea
来源：
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates contour. control of mechatronic servo systems using chaotic neural networks (CNNs). For controlling the trajectories of a X-Y table, control system uses direct adaptive control strategy with modified chaotic neural networks. The proposed controller demonstrates accurate tracking of the planned contour path and also shows excellent performance on convergence and final error comparing with recurrent neural network (RNN) controller.
引用
收藏
页码：2122 / 2125
页数：4
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