KMS Of Academy of mathematics and systems sciences, CAS
| Identification of Wiener systems with quantized inputs and binary-valued output observations | |
Guo, Jin1; Wang, Le Yi2; Yin, George3; Zhao, Yanlong4,5 ; Zhang, Ji-Feng4,5
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| 2017-04-01 | |
| Source Publication | AUTOMATICA
 |
| ISSN | 0005-1098 |
| Volume | 78Pages:280-286 |
| Abstract | This paper investigates identification of Wiener systems with quantized inputs and binary-valued output observations. By parameterizing the static nonlinear function and incorporating both linear and nonlinear parts, we begin by investigating system identifiability under the input and output constraints. Then a three-step algorithm is proposed to estimate the unknown parameters by using the empirical measure, input persistent patterns, and information on noise statistics. Convergence properties of the algorithm, including strong convergence and mean-square convergence rate, are established. Furthermore, by selecting a suitable transformation matrix, the asymptotic efficiency of the algorithm is proved in terms of the Cramer Rao lower bound. Finally, numerical simulations are presented to illustrate the main results of this paper. (C) 2016 Elsevier Ltd. All rights reserved. |
| Keyword | Identification Wiener system Quantized input Binary-valued observation Asymptotic efficiency |
| DOI | 10.1016/j.automatica.2016.12.034 |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61403027] ; Fundamental Research Funds for the Central Universities[FRFTP-15-071A1] ; SKLMCCS[20160105] ; U.S. Army Research Office[W911NF-15-1-0218] ; National Key Basic Research Program of China (973 Program)[2014CB845301] |
| WOS Research Area | Automation & Control Systems ; Engineering |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000398010500034 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/25134 |
| Collection | 系统科学研究所 |
| Corresponding Author | Guo, Jin |
| Affiliation | 1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 2.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA 3.Wayne State Univ, Dept Math, Detroit, MI 48202 USA 4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Guo, Jin,Wang, Le Yi,Yin, George,et al. Identification of Wiener systems with quantized inputs and binary-valued output observations[J]. AUTOMATICA,2017,78:280-286. |
| APA | Guo, Jin,Wang, Le Yi,Yin, George,Zhao, Yanlong,&Zhang, Ji-Feng.(2017).Identification of Wiener systems with quantized inputs and binary-valued output observations.AUTOMATICA,78,280-286. |
| MLA | Guo, Jin,et al."Identification of Wiener systems with quantized inputs and binary-valued output observations".AUTOMATICA 78(2017):280-286. |
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