KMS Of Academy of mathematics and systems sciences, CAS
Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications | |
Guo, Jin1,2; Cheng, Jing1,2; Xue, Wenchao3![]() ![]() | |
2020-09-02 | |
Source Publication | INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
![]() |
ISSN | 0890-6327 |
Pages | 18 |
Abstract | This article addresses the identification of finite impulse response systems with binary-valued observations under packet losses and transmission errors. First, the maximum likelihood function of the available data sequence is derived, based on which the estimation algorithm for the unknown parameter vector is given. Then, by making full use of the statistical properties of communication uncertainty and system noise, the algorithm performance is established, including the strong convergence, the mean-square convergence rate, and the asymptotic efficiency in terms of Cramer-Rao low bound. Also the probabilistic upper bound and lower bound of the estimation error are presented. Finally, the validity and rationality of the results are verified by numerical simulation. |
Keyword | binary-valued observations FIR systems packet losses parameter identification transmission errors |
DOI | 10.1002/acs.3164 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key Research and Development Program of China[2018YFA0703800] ; National Natural Science Foundation of China[61773054] ; National Natural Science Foundation of China[61622309] ; Fundamental Research Funds for the Central Universities[FRF-TP-19-015B1] |
WOS Research Area | Automation & Control Systems ; Engineering |
WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic |
WOS ID | WOS:000564893600001 |
Publisher | WILEY |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/52043 |
Collection | 系统科学研究所 |
Corresponding Author | Zhao, Yanlong |
Affiliation | 1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, 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 100190, Peoples R China |
Recommended Citation GB/T 7714 | Guo, Jin,Cheng, Jing,Xue, Wenchao,et al. Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications[J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,2020:18. |
APA | Guo, Jin,Cheng, Jing,Xue, Wenchao,&Zhao, Yanlong.(2020).Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications.INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,18. |
MLA | Guo, Jin,et al."Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications".INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2020):18. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment