Filtering linear systems with large time-varying measurement delays

被引：8

作者：

Cacace, Filippo ^{[1
,5
]}

Conte, Francesco ^{[1
,2
]}

d'Angelo, Massimiliano ^{[3
]}

Germani, Alfredo ^{[4
]}

Palombo, Giovanni ^{[5
]}

机构：

[1] Univ Campus Biomed Rome, Rome, Italy

[2] Univ Genoa, DITEN, Genoa, Italy

[3] Univ Roma La Sapienza, DIAG, Rome, Italy

[4] Univ Aquila, DISIM, Laquila, Italy

[5] IASI CNR, Rome, Italy

来源：

AUTOMATICA | 2022年 / 136卷

关键词：

Time-varying delay; Filtering; Linear systems;

D O I：

10.1016/j.automatica.2021.110084

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we consider the estimation problem for linear stochastic systems affected by multiple known and time-varying delays on all the output signals. Based on a modification of a previous proposal we prove for the first time the result that a filter based on simple eigenvalue assignment of the closed-loop error system may achieve uniform performance, with respect to the delay bound and estimation variance, in presence of both constant and time-varying delays that are differentiable. A new and simple demonstration technique provides non conservative delay bounds for time-varying delays. A cascaded version of the filter can cope with arbitrarily large delays. (C) 2021 Elsevier Ltd. All rights reserved.

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页数：7

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