中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
RECURSIVE SYSTEM IDENTIFICATION

文献类型:期刊论文

作者Chen, Han-Fu
刊名ACTA MATHEMATICA SCIENTIA
出版日期2009-05-01
卷号29期号:3页码:650-672
关键词recursive identification ARMAX Hammerstein systems Wiener systems nonlinear ARX systems stochastic approximation convergence
ISSN号0252-9602
英文摘要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.
语种英语
WOS记录号WOS:000265911500017
出版者ELSEVIER SCIENCE INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/7761]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。