Distributed Robustness Analysis of Interconnected Uncertain Systems Using Chordal Decomposition

S. Pakazad, A. Hansson, Martin S. Andersen, A. Rantzer
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引用次数: 12

Abstract

Abstract Large-scale interconnected uncertain systems commonly have large state and uncertainty dimensions. Aside from the heavy computational cost of performing robust stability analysis in a centralized manner, privacy requirements in the network can also introduce further issues. In this paper, we utilize IQC analysis for analyzing large-scale interconnected uncertain systems and we evade these issues by describing a decomposition scheme that is based on the interconnection structure of the system. This scheme is based on the so-called chordal decomposition and does not add any conservativeness to the analysis approach. The decomposed problem can be solved using distributed computational algorithms without the need for a centralized computational unit. We further discuss the merits of the proposed analysis approach using a numerical experiment.
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基于弦分解的互联不确定系统的分布鲁棒性分析
大型互联不确定系统通常具有较大的状态维数和不确定维数。除了以集中的方式执行健壮的稳定性分析的沉重计算成本外,网络中的隐私要求还可能带来进一步的问题。在本文中,我们利用IQC分析来分析大规模互联不确定系统,并通过描述基于系统互联结构的分解方案来避免这些问题。该方案是基于所谓的弦分解,不增加任何保守性的分析方法。分解的问题可以使用分布式计算算法来解决,而不需要一个集中的计算单元。我们用数值实验进一步讨论了所提出的分析方法的优点。
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