State and input simultaneous estimation for a class of nonlinear systems

被引：223
|
作者：
Ha, QP
Trinh, H
机构：
[1] Univ Technol Sydney, Fac Engn, ARC Ctr Excellence Autonomous Syst, CAS, Sydney, NSW 2007, Australia
[2] Deakin Univ, Sch Engn & Technol, Geelong, Vic 3217, Australia
来源：
AUTOMATICA | 2004年 / 40卷 / 10期
基金：
澳大利亚研究理事会;
关键词：
observers; nonlinear systems; state and input estimation;
D O I：
10.1016/j.automatica.2004.05.012
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 addresses the problem of estimating simultaneously the state and input of a class of nonlinear systems. Here, the systems nonlinear part comprises a Lipschitz nonlinear function with respect to the state and input, and a state-dependent unknown function including additive disturbance as well as uncertain/nonlinear/time-varying terms. Upon satisfying some conditions, the observer design problem can be solved via a Riccati inequality or a LMI-based technique with asymptotic estimation guaranteed. A numerical example is included for illustration. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1779 / 1785
页数：7
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