Adaptive inverse control system based on least squares support vector machines

被引：0
|
作者：
Liu, XJ [1 ]
Yi, JQ [1 ]
Zhao, DB [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS | 2005年 / 3498卷
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：
Adaptive inverse control (AIC) uses three adaptive filters: plant model, controller and disturbance canceller. A kind of hybrid AIC system based on Least Squares Support Vector Machines (LS-SVMs) is proposed in this paper. It has a PID controller to compensate the control signal error. A kind of adaptive disturbance canceller based on LS-SVM is also proposed. It can optimally eliminate plant disturbance. Simulation example is presented to demonstrate that the proposed method works very well.
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收藏
页码：48 / 53
页数：6
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