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RECURSIVE SYSTEM IDENTIFICATION
Chen, Han-Fu
2009-05-01
发表期刊ACTA MATHEMATICA SCIENTIA
ISSN0252-9602
卷号29期号:3页码:650-672
摘要Most of existing methods in system identification with possible exception of those for linear systems are off-line in nature, and hence are nonrecursive. This paper demonstrates the recent progress in recursive system identification. The recursive identification algorithms are presented not only for linear systems (multivariate ARMAX systems) but also for nonlinear systems such as the Hammerstein and Wiener systems, and the nonlinear ARX systems. The estimates generated by the algorithms are online updated and converge a.s. to the true values as time tends to infinity.
关键词recursive identification ARMAX Hammerstein systems Wiener systems nonlinear ARX systems stochastic approximation convergence
语种英语
资助项目NSFC[60221301] ; NSFC[60874001] ; National Laboratory of Space Intelligent Control
WOS研究方向Mathematics
WOS类目Mathematics
WOS记录号WOS:000265911500017
出版者ELSEVIER SCIENCE 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/7762
专题系统科学研究所
通讯作者Chen, Han-Fu
作者单位Chinese Acad Sci, Inst Syst Sci, AMSS, Key Lab Syst & Control, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Chen, Han-Fu. RECURSIVE SYSTEM IDENTIFICATION[J]. ACTA MATHEMATICA SCIENTIA,2009,29(3):650-672.
APA Chen, Han-Fu.(2009).RECURSIVE SYSTEM IDENTIFICATION.ACTA MATHEMATICA SCIENTIA,29(3),650-672.
MLA Chen, Han-Fu."RECURSIVE SYSTEM IDENTIFICATION".ACTA MATHEMATICA SCIENTIA 29.3(2009):650-672.
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