Recursive Least Squares Algorithm for a Nonlinear Additive System with Time Delay

被引：0
|
作者：
陈晶 [1 ,2 ]
王秀平 [2 ]
机构：
[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics
[2] Wuxi Professional College of Science and Technology
来源：
JournalofShanghaiJiaotongUniversity(Science) | 2016年 / 21卷 / 02期
基金：
中国国家自然科学基金;
关键词：
parameter estimation; recursive least square algorithm; Weierstrass approximation theorem; key term separation principle; additive system;
D O I：
暂无
中图分类号：
TP13 [自动控制理论];
学科分类号：
0711 ; 071102 ; 0811 ; 081101 ; 081103 ;
摘要：
This paper proposes a recursive least squares algorithm for a nonlinear additive system with time delay.By the Weierstrass approximation theorem and the key term separation principle, the model can be simplified as an identification model. Based on the identification model, a recursive least squares identification algorithm is used to estimate all the unknown parameters of the time-delayed additive system. An example is provided to show the effectiveness of the proposed algorithm.
引用
收藏
页码：159 / 163
页数：5
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