Identifying and controlling on adaptive inverse model based on artificial neural network

被引：0
|
作者：
Wang, SH [1 ]
Li, G [1 ]
Lu, XT [1 ]
Liu, P [1 ]
机构：
[1] AF Engn Univ, Missile Inst, Xian, Peoples R China
来源：
ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年
关键词：
adaptive inverse control; inverse model identifying; artificial neural network; simulation;
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：
The system inverse-model is definited in this paper The principle about adaptive inverse control is expounded It is discussed that a neural network is used to build a inverse model of a simple system. A simulation has been done on identifying the inverse model and the adaptive inverse control. There are some useful results followed: the model is easer to build, widely to suite, and better in accuracy. The system behaviour is gratifying in tracking curves with adaptive inverse model. It can also accomplish steps of foresight control.
引用
收藏
页码：229 / 233
页数：5
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