Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations
Guo, Jin1,2; Zhao, Yanlong3
刊名ASIAN JOURNAL OF CONTROL
2019-09-11
页码10
关键词asymptotic efficiency identification quantized inputs quantized output observations Wiener-Hammerstein system
ISSN号1561-8625
DOI10.1002/asjc.2237
英文摘要This paper investigates the Wiener-Hammerstein system identification with quantized inputs and quantized output observations. By parameterizing the static nonlinear function, system identifiability is discussed first. Then, for the identifiable system a three-step algorithm is proposed to estimate the unknown parameters by employing the empirical measure-based method and the quasi-convex combination technique. Finally, the algorithm is proved to be strongly convergent, the mean-square convergence rate is presented, and the asymptotic efficiency is given by selecting a suitable transformation matrix. A numerical simulation is included to demonstrate the main results obtained.
资助项目National Natural Science Foundation of China[61773054] ; National Natural Science Foundation of China[61622309] ; National Key Research and Development Program of China[2018YFA0703801]
WOS研究方向Automation & Control Systems
语种英语
出版者WILEY
WOS记录号WOS:000486164100001
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/35579]  
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.Minist Educ, Key Lab Knowledge Automat Ind Proc, Beijing, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing, Peoples R China
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GB/T 7714
Guo, Jin,Zhao, Yanlong. Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations[J]. ASIAN JOURNAL OF CONTROL,2019:10.
APA Guo, Jin,&Zhao, Yanlong.(2019).Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations.ASIAN JOURNAL OF CONTROL,10.
MLA Guo, Jin,et al."Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations".ASIAN JOURNAL OF CONTROL (2019):10.
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