State and Parameter Estimation: A Nonlinear Luenberger Observer Approach

被引：60
|
作者：
Afri, Chouaib [1 ,2 ,3 ]
Andrieu, Vincent [1 ,2 ,3 ,4 ]
Bako, Laurent [5 ]
Dufour, Pascal [1 ,2 ,3 ]
机构：
[1] Univ Lyon, F-69622 Lyon, France
[2] Univ Lyon 1, F-69621 Villeurbanne, France
[3] CNRS, UMR 5007, F-75700 Paris, France
[4] Wuppertal Univ, Arbeitsgrp Funkt Anal, D-42097 Wuppertal, Germany
[5] Univ Lyon, Ecole Cent Lyon, Lab Ampere, F-69134 Ecully, France
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2017年 / 62卷 / 02期
关键词：
Adaptive estimation; observer; system identification; ADAPTIVE OBSERVERS; EXPONENTIAL RATE; CONVERGENCE; PERSISTENCY; EXCITATION; SYSTEMS; DESIGN;
D O I：
10.1109/TAC.2016.2566804
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 design of a nonlinear Luenberger observer for an extended nonlinear system resulting from a parameterized linear SISO (single-input single-output) system is studied. From an observability assumption of the system, the existence of such an observer is concluded. In a second step, a novel algorithm for the identification of such a system is suggested. Compared to the adaptive observers available in the literature, it has the advantage to be of low dimension and to admit a strict Lyapunov function.
引用
收藏
页码：973 / 980
页数：8
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