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
收藏
页码：92 / 99
页数：8
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