文章基本信息

标题：Data filtering based parameter estimation algorithms for multivariable Box-Jenkins-like systems ∗
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作者：Yanjiao Wang ; Ling Xu ; Feng Ding 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：8
页码：849-852
DOI：10.1016/j.ifacol.2015.09.075
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes an auxiliary model based hierarchical least squares algorithm for multivariable Box-Jenkins-like systems using the hierarchical identification principle. To improve the computational efficiency, a multivariable system is decomposed into two subsystems by using the data filtering technique. Furthermore, this paper presents a data filtering based auxiliary model hierarchical least squares algorithm for multivariable Box-Jenkins-like systems. The simulation example shows that the proposed identification algorithms are effective.
关键词：KeywordsLeast squaresData filteringParameter estimationHierarchical identificationMultivariable system