Adaptive tracking and recursive identification for Hammerstein systems
Zhao, Wen-Xiao2; Chen, Han-Fu1
刊名AUTOMATICA
2009-12-01
卷号45期号:12页码:2773-2783
关键词Hammerstein system Weighted least squares Adaptive tracking Recursive identification Optimality Strong consistency
ISSN号0005-1098
DOI10.1016/j.automatica.2009.09.009
英文摘要A weighted least squares (WL-S) based adaptive tracker is designed for a cl ass of Hammerstein systems. It is p roved that the tracking error is asymptotically minimized. Incorporating with the diminishing excitation technique, the minimality of the tracking error and strong consistency of the estimates for parameters of the system are simultaneously achieved. Numerical examples are given and the simulation results are consistent with the theoretical analysis. (C) 2009 Elsevier Ltd. All rights reserved.
WOS研究方向Automation & Control Systems ; Engineering
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000273087500005
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/8388]  
专题系统科学研究所
通讯作者Chen, Han-Fu
作者单位1.Chinese Acad Sci, Key Lab Syst & Control, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Wen-Xiao,Chen, Han-Fu. Adaptive tracking and recursive identification for Hammerstein systems[J]. AUTOMATICA,2009,45(12):2773-2783.
APA Zhao, Wen-Xiao,&Chen, Han-Fu.(2009).Adaptive tracking and recursive identification for Hammerstein systems.AUTOMATICA,45(12),2773-2783.
MLA Zhao, Wen-Xiao,et al."Adaptive tracking and recursive identification for Hammerstein systems".AUTOMATICA 45.12(2009):2773-2783.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace