Identification of Wiener systems with quantized inputs and binary-valued output observations

doi:10.1016/j.automatica.2016.12.034

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	Identification of Wiener systems with quantized inputs and binary-valued output observations
	Guo, Jin 1; Wang, Le Yi 2; Yin, George 3; Zhao, Yanlong4,5 ; Zhang, Ji-Feng4,5
	2017-04-01
发表期刊	AUTOMATICA
ISSN	0005-1098
卷号	78 页码:280-286
摘要	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.
关键词	Identification Wiener system Quantized input Binary-valued observation Asymptotic efficiency
DOI	10.1016/j.automatica.2016.12.034
语种	英语
资助项目	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研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000398010500034
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/25134
专题	系统科学研究所
通讯作者	Guo, Jin
作者单位	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
推荐引用方式 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.