A Parameter Estimation Approach to State Observation of Nonlinear Systems

被引：0
|
作者：
Ortega, R. [1 ]
Bobtsov, A. [2 ]
Pyrkin, A. [2 ]
Aranovskiy, S. [2 ]
机构：
[1] LSS Supelec, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
[2] ITMO Univ, Dept Control Syst & Informat, Kronverkskiy Av 49, St Petersburg 197101, Russia
来源：
2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2015年
关键词：
ADAPTIVE-CONTROL; PARAMETRIZATION; OBSERVER;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel approach to the partial state estimation problem is proposed. Instrumental to this approach is the reformulation of the state estimation problem as a problem of estimation of a constant parameter related to the systems initial conditions. The admissible class of the systems is defined via two assumptions related to solvability of a partial differential equation and our ability to estimate the unknown parameters. The proposed approach is shown to be applicable to position estimation of a class of electromechanical systems.
引用
收藏
页码：6336 / 6341
页数：6
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