Controllability of Multi-Relational Networks with Heterogeneous Dynamical Nodes

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

Abstract

This paper studies the controllability of networked systems, in which the nodes are heterogeneous high-dimensional dynamical systems, and the links between nodes are multi-relational. Our aim is to find controllability criteria for heterogeneous networks with multi-relational links beyond those only applicable to networks with single-relational links. It is found a network with multi-relational links can be controllable even if each single-relational network topology is uncontrollable, and vice versa. Some sufficient and necessary conditions are derived for the controllability of multi-relational networks with heterogeneous dynamical nodes. For two typical multi-relational networks with star-chain topology and star-circle topology, some easily verified conditions are presented. For illustration and verification, several examples are presented. These findings provide practical insights for the analysis and control of multi-relational complex systems.
具有异构动态节点的多关系网络的可控性
本文研究网络系统的可控性,其中节点是异构高维动态系统,节点之间的链接是多关系链接。我们的目的是为具有多关系链接的异构网络寻找可控性标准,而不是仅仅适用于具有单关系链接的网络。研究发现,即使每个单关系网络拓扑结构都是不可控的,具有多关系链接的网络也是可控的,反之亦然。推导出了具有异构动态节点的多关系网络可控性的一些充分和必要条件。针对星链拓扑和星圆拓扑两种典型的多关系网络,提出了一些易于验证的条件。为了说明和验证,还列举了几个实例。这些发现为多关系复杂系统的分析和控制提供了实用见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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