Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors

doi:10.1109/TAC.2017.2651640

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	Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors
	Zhao, Wenxiao1,2 ; Chen, Han-Fu1,2 ; Tempo, Roberto 3; Dabbene, Fabrizio 3
	2017-08-01
发表期刊	IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN	0018-9286
卷号	62 期号:8 页码:3959-3971
摘要	In this paper, the problem of identifying nonlinear systems under adaptive binary-valued output measurements is considered. We follow a nonparametric approach, which directly estimates the value of the nonlinear function representing the system at any fixed point with the help of a recursive kernel-based stochastic approximation algorithm with expanding truncations (SAAWET). The thresholds of the binary sensor are adaptively designed to achieve a sufficient richness of information in the output observations. The constructed estimates are proved to converge to the true values with probability one. Two numerical examples are given showing that the simulation results are consistent with the theoretical analysis.
关键词	Binary sensor nonparametric nonlinear system recursive identification stochastic approximation strong consistency
DOI	10.1109/TAC.2017.2651640
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB0901902] ; National Key Research and Development Program of China[2016YFB0901904] ; National Key Basic Research Program of China (973 program)[2014CB845301] ; National Natural Science Foundation (NSF) of China[61573345] ; National Natural Science Foundation (NSF) of China[61273193] ; National Natural Science Foundation (NSF) of China[61227902] ; 973 program of China[2014CB845301] ; NSF of China[61273193] ; National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences ; International Joint CNR-JST Lab COOPS
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000406395900019
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/26207
专题	系统科学研究所
通讯作者	Zhao, Wenxiao
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Politecn Torino, CNR IEIIT, Turin, Italy
推荐引用方式 GB/T 7714	Zhao, Wenxiao,Chen, Han-Fu,Tempo, Roberto,et al. Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2017,62(8):3959-3971.
APA	Zhao, Wenxiao,Chen, Han-Fu,Tempo, Roberto,&Dabbene, Fabrizio.(2017).Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,62(8),3959-3971.
MLA	Zhao, Wenxiao,et al."Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 62.8(2017):3959-3971.