Optimal input design for continuous-time system identification

被引：4

作者：

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

Malti, Rachid ^{[1
,3
]}

Moreau, Xavier ^{[1
,3
]}

Moze, Mathieu ^{[2
,3
]}

Aioun, Francois ^{[2
,3
]}

Guillemard, Franck ^{[2
,3
]}

机构：

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

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

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

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2018年 / 60卷

关键词：

Optimal input design; Experiment planning; Continuous-time system identification; Fractional systems; Basis functions decomposition; Laguerre functions; PARAMETER;

D O I：

10.1016/j.cnsns.2017.12.013

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, an optimal input design framework for continuous-time system identification is proposed. The problem is formulated in a convex finite dimensional form. For that purpose, input spectrum is decomposed onto a Laguerre basis and an LMI-problem is solved. The proposed solution is used to compute the optimal spectrum for a fractional system identification. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：92 / 99

页数：8

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