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arXiv 1909.03565eess.SYcs.SYmath.DS
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基于距离的网络强结构能控性界的计算

Computation of the Distance-based Bound on Strong Structural Controllability in Networks

Mudassir Shabbir, Waseem Abbas, A. Yasin Yazicioglu, Xenofon Koutsoukos

摘要:

本文研究了Laplacian动力学网络中强结构可控子空间维数的紧下界计算问题。边界是基于一系列向量,包含底层网络图中领导者(具有外部输入的节点)和追随者(剩余节点)之间的距离。这样的向量被称为距离引导向量。{We给出了计算最长的距离到领导向量序列的精确和近似算法,直接提供了基于距离的SSCS维数上界。基于距离的边界优于其他已知的边界(例如,基于迫零集),特别是当网络部分强结构可控时。利用这些结果,我们讨论了基于距离的界在解决强结构可控性的领导者选择问题中的应用。此外,我们的特点强结构可控性的路径和循环图与一组给定的领导节点使用序列的距离领导人向量。最后,我们数值评估我们的结果在各种图形。

英文摘要:

In this paper, we study the problem of computing a tight lower bound on the dimension of the strong structurally controllable subspace (SSCS) in networks with Laplacian dynamics. The bound is based on a sequence of vectors containing the distances between leaders (nodes with external inputs) and followers (remaining nodes) in the underlying network graph. Such vectors are referred to as the distance-to-leaders vectors. {We give exact and approximate algorithms to compute the longest sequences of distance-to-leaders vectors, which directly provide distance-based bounds on the dimension of SSCS. The distance-based bound is known to outperform the other known bounds (for instance, based on zero-forcing sets), especially when the network is partially strong structurally controllable. Using these results, we discuss an application of the distance-based bound in solving the leader selection problem for strong structural controllability. Further, we characterize strong structural controllability in path and cycle graphs with a given set of leader nodes using sequences of distance-to-leaders vectors. Finally, we numerically evaluate our results on various graphs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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