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Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors
Zhao, Wenxiao1,2; Chen, Han-Fu1,2; Tempo, Roberto3; Dabbene, Fabrizio3
2017-08-01
Source PublicationIEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN0018-9286
Volume62Issue:8Pages:3959-3971
AbstractIn 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.
KeywordBinary sensor nonparametric nonlinear system recursive identification stochastic approximation strong consistency
DOI10.1109/TAC.2017.2651640
Language英语
Funding ProjectNational 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 Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000406395900019
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/26207
Collection系统科学研究所
Corresponding AuthorZhao, Wenxiao
Affiliation1.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
Recommended Citation
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.
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