Adaptive identification of continuous-time MIMO state-space models

被引：0

作者：

Afri, Chouaib ^{[1
,2
]}

Bako, Laurent ^{[3
]}

Andrieu, Vincent ^{[1
,2
]}

Dufour, Pascal ^{[1
,2
]}

机构：

[1] Univ Lyon, F-69622 Lyon, France

[2] Univ Lyon 1, CNRS, UMR 5007, LAGEP, Villeurbanne, France

[3] Univ Lyon, Ecole Cent Lyon, Lab Ampere, F-69130 Ecully, France

来源：

2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2015年

关键词：

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：

This paper studies the problem of identifying linear continuous-time state-space models from input-output measurements. An adaptive identifier is developed for the online estimation of both the state and the model parameters in a deterministic framework. Our approach is a non parametric one in the sense that it provides an arbitrary realization of the system. It relies on ideas from the subspace identification literature and adaptive observer.

引用

页码：5677 / 5682

页数：6

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