中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
On input design for regularized LTI system identification: Power-constrained input

文献类型:期刊论文

作者Mu, Biqiang1,4; Chen, Tianshi2,3
刊名AUTOMATICA
出版日期2018-11-01
卷号97页码:327-338
关键词Input design Bayesian mean square error Kernel-based regularization LTI system identification Convex optimization
ISSN号0005-1098
DOI10.1016/j.automatica.2018.08.010
英文摘要Input design is an important issue for classical system identification methods but has not been investigated for the kernel-based regularization method (KRM) until very recently. In this paper, we consider the input design problem of KRMs for LTI system identification. Different from the recent result, we adopt a Bayesian perspective and in particular make use of scalar measures (e.g., the A-optimality, D-optimality, and E-optimality) of the Bayesian mean square error matrix as the design criteria subject to power-constraint on the input. Instead of solving the optimization problem directly, we propose a two-step procedure. In the first step, by making suitable assumptions on the unknown input, we construct a quadratic map (transformation) of the input such that the transformed input design problems are convex, and the global minima of the transformed input design problem can thus be found efficiently by applying well-developed convex optimization software packages. In the second step, we derive the characterization of the optimal input based on the global minima found in the first step by solving the inverse image of the quadratic map. In addition, we derive analytic results for some special types of kernels, which provide insights on the input design and also its dependence on the kernel structure. (C) 2018 Elsevier Ltd. All rights reserved.
资助项目National Natural Science Foundation of China[61773329] ; National Natural Science Foundation of China[61603379] ; Thousand Youth Talents Plan - central government of China ; Shenzhen Projects - Shenzhen Science and Technology Innovation Council, China[Ji-20170189] ; Shenzhen Projects - Shenzhen Science and Technology Innovation Council, China[Ji-20160207] ; Chinese University of Hong Kong, Shenzhen, China[PF. 01.000249] ; Chinese University of Hong Kong, Shenzhen, China[2014.0003.23] ; Swedish Research Council[20145894] ; National Key Basic Research Program of China (973 Program)[2014CB845301] ; President Fund of Academy of Mathematics and Systems Science, CAS, China[2015-hwyxqnrc-mbq]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000447568400038
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31475]  
专题系统科学研究所
通讯作者Chen, Tianshi
作者单位1.Linkoping Univ, Dept Elect Engn, Div Automat Control, S-58183 Linkoping, Sweden
2.Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
3.Chinese Univ Hong Kong, Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Mu, Biqiang,Chen, Tianshi. On input design for regularized LTI system identification: Power-constrained input[J]. AUTOMATICA,2018,97:327-338.
APA Mu, Biqiang,&Chen, Tianshi.(2018).On input design for regularized LTI system identification: Power-constrained input.AUTOMATICA,97,327-338.
MLA Mu, Biqiang,et al."On input design for regularized LTI system identification: Power-constrained input".AUTOMATICA 97(2018):327-338.

入库方式: OAI收割

来源:数学与系统科学研究院

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