具有高维节点的多层网络的目标可控性

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Lifu Wang;Zhaofei Li;Ge Guo;Zhi Kong
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引用次数: 0

摘要

本文研究了多层复杂网络系统的目标可控性,其中节点是高维线性时不变(LTI)动态系统,网络拓扑结构是有向和加权的。讨论了层间耦合对多层网络目标可控性的影响。研究发现,由于层间耦合的存在,即使存在不具有目标可控性的层,整个多层网络仍然具有目标可控性。对于一般结构的多层网络,通过建立不可控子空间和输出矩阵之间的关系,给出了目标可控性的必要条件和充分条件。根据推导出的条件,可以发现即使系统不是状态可控的,也可能是目标可控的。在此基础上推导出两个推论,阐明了目标可控性、状态可控性和输出可控性之间的关系。对于层间耦合为有向链和有向星的多层网络,分别给出了网络系统目标可控性的充分条件。这些条件比经典标准更容易验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Target Controllability of Multi-Layer Networks with High-Dimensional Nodes
This paper studies the target controllability of multi-layer complex networked systems, in which the nodes are high-dimensional linear time invariant (LTI) dynamical systems, and the network topology is directed and weighted. The influence of inter-layer couplings on the target controllability of multi-layer networks is discussed. It is found that even if there exists a layer which is not target controllable, the entire multi-layer network can still be target controllable due to the inter-layer couplings. For the multi-layer networks with general structure, a necessary and sufficient condition for target controllability is given by establishing the relationship between uncontrollable subspace and output matrix. By the derived condition, it can be found that the system may be target controllable even if it is not state controllable. On this basis, two corollaries are derived, which clarify the relationship between target controllability, state controllability and output controllability. For the multi-layer networks where the inter-layer couplings are directed chains and directed stars, sufficient conditions for target controllability of networked systems are given, respectively. These conditions are easier to verify than the classic criterion.
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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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