中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonparametric approach to identifying NARX systems

文献类型:期刊论文

作者Song, Qijiang; Chen, Han-Fu
刊名JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
出版日期2010-02-01
卷号23期号:1页码:3-21
关键词alpha-mixing geometrically ergodic Markov chains NARX nonparametric recursive estimate stochastic approximation strongly consistent
ISSN号1009-6124
DOI10.1007/s11424-010-9268-1
英文摘要This paper considers identification of the nonlinear autoregression with exogenous inputs (NARX system). The growth rate of the nonlinear function is required be not faster than linear with slope less than one. The value of f(center dot) at any fixed point is recursively estimated by the stochastic approximation (SA) algorithm with the help of kernel functions. Strong consistency of the estimates is established under reasonable conditions, which, in particular, imply stability of the system. The numerical simulation is consistent with the theoretical analysis.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000274950400002
出版者SPRINGER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/9371]  
专题系统科学研究所
通讯作者Song, Qijiang
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Song, Qijiang,Chen, Han-Fu. Nonparametric approach to identifying NARX systems[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(1):3-21.
APA Song, Qijiang,&Chen, Han-Fu.(2010).Nonparametric approach to identifying NARX systems.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,23(1),3-21.
MLA Song, Qijiang,et al."Nonparametric approach to identifying NARX systems".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 23.1(2010):3-21.

入库方式: OAI收割

来源:数学与系统科学研究院

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