{"title":"New controllability conditions for multi-layer networked systems","authors":"Longkun Tang, Quan Shen, Lixin Jiang","doi":"10.1016/j.jfranklin.2025.107579","DOIUrl":null,"url":null,"abstract":"<div><div>The controllability of networked system with high-dimensional nodes is far lack of understanding. From the perspective of the eigenvectors, based on the decoupled idea and dimensionality reduction technique, this paper investigates the controllability of multi-layer networks with high-dimensional nodes where the network topology is described by multiple connection structures with different coupling modes, and proposes some new necessary and sufficient conditions of the controllability for two intra-layer topology cases of simultaneously block diagonalization (SBD) and simultaneously diagonalization (SD), which are represented by the small-size units of intra-layer topologies and node dynamics. Furthermore, an easy-to-use algorithm is developed to check the controllability of multi-layer networked system, and two examples are used for illustration and verification, and then these conditions are specified for four cases of special intra-layer topologies. These findings provide a new and insight understandings for the controllability of multi-layer networks, and reveal the affect of multi-layer connections (outer topologies and inner couplings) on network controllability, particularly the impressive result that either one of two-layer networks being uncontrollable implies the two-layer networked system being uncontrollable when the two-layer network structures have the common left eigenvectors.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107579"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225000730","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The controllability of networked system with high-dimensional nodes is far lack of understanding. From the perspective of the eigenvectors, based on the decoupled idea and dimensionality reduction technique, this paper investigates the controllability of multi-layer networks with high-dimensional nodes where the network topology is described by multiple connection structures with different coupling modes, and proposes some new necessary and sufficient conditions of the controllability for two intra-layer topology cases of simultaneously block diagonalization (SBD) and simultaneously diagonalization (SD), which are represented by the small-size units of intra-layer topologies and node dynamics. Furthermore, an easy-to-use algorithm is developed to check the controllability of multi-layer networked system, and two examples are used for illustration and verification, and then these conditions are specified for four cases of special intra-layer topologies. These findings provide a new and insight understandings for the controllability of multi-layer networks, and reveal the affect of multi-layer connections (outer topologies and inner couplings) on network controllability, particularly the impressive result that either one of two-layer networks being uncontrollable implies the two-layer networked system being uncontrollable when the two-layer network structures have the common left eigenvectors.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.