Identification of linear continuous-time systems under irregular and random output sampling
文献类型：期刊论文
| 作者 | Mu, Biqiang1 ; Guo, Jin2; Wang, Le Yi3; Yin, George4; Xu, Lijian5; Zheng, Wei Xing6
|
| 刊名 | AUTOMATICA
 |
| 出版日期 | 2015-10-01 |
| 卷号 | 60页码:100-114 |
| ISSN号 | 0005-1098 |
| 关键词 | Linear continuous-time system Irregular and random sampling Identifiability Iterative algorithm Recursive algorithm Strong consistency Asymptotical normality |
| DOI | 10.1016/j.automatica.2015.07.009 |
| 英文摘要 | This paper considers the problem of identifiability and parameter estimation of single-input-single-output, linear, time-invariant, stable, continuous-time systems under irregular and random sampling schemes. Conditions for system identifiability are established under inputs of exponential polynomial types and a tight bound on sampling density. Identification algorithms of Gauss-Newton iterative types are developed to generate convergent estimates. When the sampled output is corrupted by observation noises, input design, sampling times, and convergent algorithms are intertwined. Persistent excitation (PE) conditions for strongly convergent algorithms are derived. Unlike the traditional identification, the PE conditions under irregular and random sampling involve both sampling times and input values. Under the given PE conditions, iterative and recursive algorithms are developed to estimate the original continuous-time system parameters. The corresponding convergence results are obtained. Several simulation examples are provided to verify the theoretical results. (C) 2015 Elsevier Ltd. All rights reserved. |
| 资助项目 | National Key Basic Research Program of China (973 program)[2014CB845301] ; NSF of China[61273193] ; NSF of China[61120106011] ; NSF of China[61134013] ; NSF of China[61403027] ; Army Research Office[W911NF-15-1-0218] ; Australian Research Council[DP120104986] |
| WOS研究方向 | Automation & Control Systems ; Engineering |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000361073600014 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/20780]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Mu, Biqiang |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Being 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 3.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA 4.Wayne State Univ, Dept Math, Detroit, MI 48202 USA 5.SUNY, Farmingdale State Coll, Dept Elect & Comp Engn Technol, Farmingdale, NY 11735 USA 6.Univ Western Sydney, Sch Comp Engn & Math, Sydney, NSW 2751, Australia |
| 推荐引用方式 GB/T 7714 | Mu, Biqiang,Guo, Jin,Wang, Le Yi,et al. Identification of linear continuous-time systems under irregular and random output sampling[J]. AUTOMATICA,2015,60:100-114. |
| APA | Mu, Biqiang,Guo, Jin,Wang, Le Yi,Yin, George,Xu, Lijian,&Zheng, Wei Xing.(2015).Identification of linear continuous-time systems under irregular and random output sampling.AUTOMATICA,60,100-114. |
| MLA | Mu, Biqiang,et al."Identification of linear continuous-time systems under irregular and random output sampling".AUTOMATICA 60(2015):100-114. |
入库方式： OAI收割
来源：数学与系统科学研究院
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