A Reduced-order Observer-predictor for Nonlinear Systems with Delayed Measurements

被引：1

作者：

Magarotto, E. ^{[1
]}

Massieu, J-F ^{[1
]}

Dorleans, P. ^{[1
]}

Van Assche, V. ^{[1
]}

机构：

[1] NORMANDIE UNIV, UNICAEN, ENSICAEN, LAC EA 7478, F-4000 Caen, France

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 29期

关键词：

nonlinear systems; delayed measurements; state estimation; reduced-order observer; Lyapunov stability; DESIGN; OBSERVABILITY; STABILITY;

D O I：

10.1016/j.ifacol.2019.12.628

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this work is to propose and characterize reduced-order nonlinear continuous observers coupled with an output predictor for a particular class of nonlinear systems with delayed measurements. Using a small gain approach, we provide sufficient conditions, involving the delay, which ensure an exponential convergence of both observer and predictor. An explicit bound on the maximum allowable delay guaranteeing stability of this observer-predictor is given. A simple procedure design for the observer is described and illustrated on a numerical example. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：97 / 102

页数：6

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