文章基本信息

标题：Local Subspace Identification of Distributed Homogeneous Systems With General Interconnection Patterns
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作者：Chengpu Yu ; Michel Verhaegen
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：585-589
DOI：10.1016/j.ifacol.2015.12.192
语种：English
出版社：Elsevier
摘要：AbstractThis paper studies the local identification of large-scale homogeneous systems with general network topologies. The considered local system identification problem involves unmeasurable signals between neighboring subsystems. Compared with our previous work in Yu et al. (2014) which solves the local identification of 1D homogeneous systems, the main challenge of this work is how to deal with the general network topology. To overcome this problem, we first decompose the interested local system into separate subsystems using some state, input and output transform, namely the spatially lifted local system has block diagonal system matrices.We subsequently estimate the Markov parameters of the local system by solving a nuclear norm regularized optimization problem. To realize the state-space system model from the estimated Markov parameters, another nuclear norm regularized optimization problem is provided by taking into account of the inherent dependence of a redundant parameter vector. Finally, the overall identification procedure is summarized.
关键词：KeywordsSubspace identificationnuclear normnetworked systems