Optimal input design for continuous-time system identification: application to fractional systems

被引：5

作者：

Abrashov, Sergey ^{[1
,2
,3
]}

Malti, Rachid ^{[1
,3
]}

Moze, Mathieu ^{[2
,3
]}

Moreau, Xavier ^{[1
,3
]}

Guillemard, Franck ^{[2
]}

机构：

[1] Bordeaux Univ, IMS UMR CNRS 5218, 351 Cours Liberat, F-33405 Talence, France

[2] PSA Peugeot Citroen, F-78943 Velizy Villacoublay, France

[3] OpenLab Elect & Syst Automot, Bordeaux, France

来源：

IFAC PAPERSONLINE | 2015年 / 48卷 / 28期

关键词：

Optimal experiment design; System identification; Laguerre basis functions; Continuous time systems; Fractional systems;

D O I：

10.1016/j.ifacol.2015.12.312

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An optimal input design framework for continuous-time system identification using fractional models is presented. This framework extends some existing results in discrete time systems. The problem is formulated in convex finite dimensional form. Input, spectrum decomposition in Laguerre polynomial basis is applied and an LMI solution is proposed. This method permits to synthesize optimal input spectrum for LTI continuous-time systems including fractional ones. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：1307 / 1312

页数：6

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