有向圆图和树图的可控性和本质可控性的充分必要条件

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jijun Qu;Zhijian Ji;Jirong Wang;Yungang Liu
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引用次数: 0

摘要

多智能体的可控制性本质上受网络拓扑结构和领导者选择的影响。揭示拉普拉斯矩阵的特征空间与网络拓扑之间的关系是研究这一问题的一个重点。对于强连通有向圆图,我们详细说明了拉普拉斯矩阵L左特征向量的零项是如何产生的。由零条目的左特征向量产生的拓扑被过滤,以构建本质上可控的有向圆图,而不考虑前导的选择。我们提出了两种构造大量本质可控图的方法,重点是利用本质可控圆图作为基础。对于一种特殊的有向图ot树,证明了其可控性与其子结构路径有关。这就促成了可控性的充要条件的建立。最后,提出了一种通过左特征向量和广义左特征向量来检验可控子空间的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Necessary and Sufficient Conditions for Controllability and Essential Controllability of Directed Circle and Tree Graphs
The multi-agent controllability is intrinsically affected by the network topology and the selection of leaders. A focus of exploring this problem is to uncover the relationship between the eigenspace of Laplacian matrix and network topology. For strongly connected directed circle graphs, we elaborate how the zero entries in the left eigenvectors of Laplacian matrix $L$ arise. The topologies arising from left eigenvectors with zero entries are filtered to construct essentially controllable directed circle graphs regardless of the choice of leaders. We propose two methods for constructing a substantial quantity of essentially controllable graphs, with a focus on utilizing essentially controllable circle graphs as the foundation. For a special directed graph-OT tree, the controllability is shown to be related with its substructure-paths. This promotes the establishment of a sufficient and necessary condition for controllability. Finally, a method is presented to check the controllable subspace by identifying the left eigenvectors and generalized left eigenvectors.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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