States based iterative parameter estimation for a state space model with multi-state delays using decomposition

被引：56

作者：

Gu, Ya ^{[1
]}

Ding, Feng ^{[1
]}

Li, Junhong ^{[2
]}

机构：

[1] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China

[2] Nantong Univ, Sch Elect Engn, Nantong 226019, Peoples R China

来源：

SIGNAL PROCESSING | 2015年 / 106卷

基金：

中国国家自然科学基金;

关键词：

Parameter estimation; Stochastic gradient; Iterative identification; Hierarchical identification; Time delay; LEAST-SQUARES ALGORITHM; NONLINEAR-SYSTEMS; IDENTIFICATION;

D O I：

10.1016/j.sigpro.2014.08.011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is concerned with the parameter estimation of a class of time-delay systems in the state space form. By using the hierarchical identification principle, a gradient based and a least squares based iterative identification algorithms are developed to compute these parameter estimates. The basic idea is to decompose a state space system into two subsystems, one containing a parameter vector and the other containing a parameter matrix. The simulation example demonstrates the efficacy of the proposed theory. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：294 / 300

页数：7

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