On-Line Model Parameter Estimations for Time-Delay Systems

被引：2

作者：

Park, Jung Hun ^{[1
]}

Han, Soohee ^{[2
]}

Kwon, Bokyu ^{[3
]}

机构：

[1] POSCO, Tech Res Labs, Phang, Gyeongsangbuk D, South Korea

[2] Konkuk Univ, Dept Elect Engn, Seoul, South Korea

[3] Kangwon Natl Univ, Dept Control & Instrumentat Engn, Samcheok, Gangwon Do, South Korea

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2013年 / E96D卷 / 08期

关键词：

model parameter estimation; time-delay system; Lyapunov's direct method; ADAPTIVE-CONTROL; STATE-SPACE; IDENTIFICATION;

D O I：

10.1587/transinf.E96.D.1867

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 concerns a problem of on-line model parameter estimations for multiple time-delay systems. In order to estimate unknown model parameters from measured state variables, we propose two schemes using Lyapunov's direct method, called parallel and series-parallel model estimators. It is shown through a numerical example that the proposed parallel and series-parallel model estimators can be effective when sufficiently rich inputs are applied.

引用

页码：1867 / 1870

页数：4

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