Simultaneous observation and identification for nonlinear systems under unknown time-varying delays

被引：10

作者：

Ghanes, M. ^{[1
]}

DeLeon, J. ^{[3
]}

Barbot, J. -P. ^{[2
,4
]}

机构：

[1] CNRS, IRCCyN ECN, UMR 6597, 1 Rue Noe BP 92101, F-44321 Nantes 3, France

[2] ENSEA, Quartz EA 7393, 6 Ave Ponceau, F-95014 Cergy Pontoise, France

[3] Univ Autonoma Nuevo Leon, Fac Ingn Mecan & Elect, San Nicolas De Los Garza, Mexico

[4] INRIA, EPI Non A, Paris, France

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2016年 / 353卷 / 10期

关键词：

SLIDING MODE CONTROL; ADAPTIVE OBSERVERS; DESIGN; CONTROLLER; PARAMETER; STABILITY; FEEDBACK;

D O I：

10.1016/j.jfranklin.2016.01.006

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, a class of time-delayed nonlinear systems with unknown parameters and unknown time varying delays is considered. A high gain observer approach is proposed for simultaneous state observation and parameter identification. Sufficient conditions are obtained to ensure the boundedness of both observation and identification errors. Consequently a practical stability of the proposed observer is achieved. Moreover, an exponential stability of the observer is derived from the knowledge of time-delay. Simulation results are given to illustrate the performances of the proposed observer design under time varying delay function and a piecewise unknown parameter. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：2305 / 2318

页数：14

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