Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors | |
Zhao, Wenxiao1,2; Chen, Han-Fu1,2; Tempo, Roberto3; Dabbene, Fabrizio3 | |
刊名 | IEEE TRANSACTIONS ON AUTOMATIC CONTROL |
2017-08-01 | |
卷号 | 62期号:8页码:3959-3971 |
关键词 | Binary sensor nonparametric nonlinear system recursive identification stochastic approximation strong consistency |
ISSN号 | 0018-9286 |
DOI | 10.1109/TAC.2017.2651640 |
英文摘要 | 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. |
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 |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000406395900019 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/26206] |
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. |
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