Numerical design of Luenberger observers for nonlinear systems

被引：0
|
作者：
Ramos, Louise da C. [1 ]
Di Meglio, Florent [1 ]
Morgenthaler, Valery [2 ]
Figueira da Silva, Luis F. [3 ]
Bernard, Pauline [1 ]
机构：
[1] MINES ParisTech, Ctr Automat & Syst, F-75272 Paris, France
[2] ANSYS Fr, Res Team, F-69100 Villeurbanne, France
[3] Pontificia Univ Catolica Rio de Janeiro, Fac Mech Engn, BR-22541041 Rio de Janeiro, Brazil
来源：
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2020年
关键词：
D O I：
10.1109/cdc42340.2020.9304163
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 propose a method to numerically design observers for nonlinear systems. The method relies on the theory of nonlinear Luenberger observers, which consist in mapping the nonlinear dynamics to a linear system, for which observer design is easy. Relying on results guaranteeing the existence of such mappings, we propose to approximate them by performing nonlinear regression on data simply generated by solving the system and observer dynamics. We detail different approaches for autonomous and excited systems and the choices made for data generation, pre-processing, and regression.
引用
收藏
页码：5435 / 5442
页数：8
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