中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality

文献类型:期刊论文

作者Mu, Biqiang1; Chen, Han-Fu1; Wang, Le Yi2; Yin, George3; Zheng, Wei Xing4
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2017-07-01
卷号62期号:7页码:3277-3292
关键词Asymptotic normality Hammerstein system kernel function nonparametric approach recursive estimation stochastic approximation strong consistency
ISSN号0018-9286
DOI10.1109/TAC.2016.2629668
英文摘要In this work, recursive identification algorithms are developed for Hammerstein systems under the conditions considerably weaker than those in the existing literature. For example, orders of linear subsystems may be unknown and no specific conditions are imposed on their moving average part. The recursive algorithms for estimating both linear and nonlinear parts are based on stochastic approximation and kernel functions. Almost sure convergence and strong convergence rates are derived for all estimates. In addition, the asymptotic normality of the estimates for the nonlinear part is also established. The nonlinearity considered in the paper is more general than those discussed in the previous papers. A numerical example verifies the theoretical analysis with simulation results.
资助项目National Key Basic Research Program of China (973 program)[2014CB845301] ; National Natural Science Foundation of China[61603379] ; National Natural Science Foundation of China[61273193] ; National Natural Science Foundation of China[61120106011] ; National Natural Science Foundation of China[61134013] ; President Fund of Academy of Mathematics and Systems Science, CAS[2015-hwyxqnrc-mbq] ; Air Force Office of Scientific Research[FA9550-15-1-0131] ; Australian Research Council[DP120104986]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000404299300013
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/25796]  
专题系统科学研究所
通讯作者Mu, Biqiang
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control CAS, Beijing 100190, Peoples R China
2.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
3.Wayne State Univ, Dept Math, Detroit, MI 48202 USA
4.Univ Western Sydney, Sch Comp Engn & Math, Sydney, NSW 2751, Australia
推荐引用方式
GB/T 7714
Mu, Biqiang,Chen, Han-Fu,Wang, Le Yi,et al. Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2017,62(7):3277-3292.
APA Mu, Biqiang,Chen, Han-Fu,Wang, Le Yi,Yin, George,&Zheng, Wei Xing.(2017).Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,62(7),3277-3292.
MLA Mu, Biqiang,et al."Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 62.7(2017):3277-3292.

入库方式: OAI收割

来源:数学与系统科学研究院

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