Parameter Estimation of Continuous Model Based on Marquardt Algorithm

被引：0

作者：

Lin, Jun ^{[1
]}

Li, Shoutao ^{[1
]}

机构：

[1] Jilin Univ, Coll Commun Engn, Dept Control Theory & Control Engn, Changchun 130022, Peoples R China

来源：

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年

关键词：

Continuous systems; Identification; Marquardts;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new parameter estimation algorithm of continuous models. Marquardt algorithm is a system identification method according to the grads of the continuous linear state equation. And it has advantage of high precision in parameter estimation. This paper gives a Marquardt algorithm first in parameter estimation, and then performs stochastic simulations to confirm the validaty of the proposed method. At last, the algrithm is used to identificate the dynamic behavior performance model of the striated muscle of a rabbit.

引用

页码：903 / 906

页数：4