Controllability of multilayer networks

被引:23
作者
Jiang, Lixin [1 ]
Tang, Longkun [1 ]
Lu, Jinhu [2 ]
机构
[1] Huaqiao Univ, Sch Math Sci, Fujian Prov Univ Key Lab Computat Sci, Quanzhou 362021, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing Adv Innovat Ctr Big Data & Brain Comp, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
controllability; high-dimensional states; multiple coupling modes; multilayer networks; COMPLEX; DYNAMICS;
D O I
10.1002/asjc.2561
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Network controllability recently stimulates researchers' growing interests, and large-scale networked systems in real applications can be well described by multilayer networks. The intrinsic relationship between network controllability and multiple types of connection structures is far from clear and needs further investigations. This paper studies the state controllability of multilayer networks with high-dimensional nodal systems, where the network topology is described by multiple connection structures with different coupling modes. We focus on the impact of multilayer structures, multiple coupling modes, and external control inputs on the controllability of multilayer networked systems, and investigations show that (1) the controllability of multilayer networked system is far more complicated than that of monolayer networked systems and the multilayser topological structures facilitate the controllability; (2) different from that in the monolayer network system, a two-layer network system may be controllable even if both underlying network topologies are uncontrollable. However, under certain conditions, uncontrollable network topologies lead to the two-layer network system being uncontrollable; (3) the mutually complementary coupling modes are beneficial to the controllability of multilayer networks.
引用
收藏
页码:1517 / 1527
页数:11
相关论文
共 32 条
[1]   DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk [J].
Battiston, Stefano ;
Puliga, Michelangelo ;
Kaushik, Rahul ;
Tasca, Paolo ;
Caldarelli, Guido .
SCIENTIFIC REPORTS, 2012, 2
[2]  
Bianconi G, 2018, MULTILAYER NETWORKS: STRUCTURE AND FUNCTION, DOI 10.1093/oso/9780198753919.001.0001
[3]   The structure and dynamics of multilayer networks [J].
Boccaletti, S. ;
Bianconi, G. ;
Criado, R. ;
del Genio, C. I. ;
Gomez-Gardenes, J. ;
Romance, M. ;
Sendina-Nadal, I. ;
Wang, Z. ;
Zanin, M. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2014, 544 (01) :1-122
[4]   GABAergic Hub Neurons Orchestrate Synchrony in Developing Hippocampal Networks [J].
Bonifazi, P. ;
Goldin, M. ;
Picardo, M. A. ;
Jorquera, I. ;
Cattani, A. ;
Bianconi, G. ;
Represa, A. ;
Ben-Ari, Y. ;
Cossart, R. .
SCIENCE, 2009, 326 (5958) :1419-1424
[5]   Complex brain networks: graph theoretical analysis of structural and functional systems [J].
Bullmore, Edward T. ;
Sporns, Olaf .
NATURE REVIEWS NEUROSCIENCE, 2009, 10 (03) :186-198
[6]   Systems biology and brain activity in neuronal pathways by smart device and advanced signal processing [J].
Castellani, Gastone ;
Intrator, Nathan ;
Remondini, Daniel .
FRONTIERS IN GENETICS, 2014, 5
[7]  
Chen G., 2019, IEEE T CONTROL NETW
[8]  
Chui C.K., 2012, Linear systems and optimal control, V18
[9]   Structure and dynamics of molecular networks: A novel paradigm of drug discovery A comprehensive review [J].
Csermely, Peter ;
Korcsmaros, Tamas ;
Kiss, Huba J. M. ;
London, Gabor ;
Nussinov, Ruth .
PHARMACOLOGY & THERAPEUTICS, 2013, 138 (03) :333-408
[10]   Evolution of Controllability in Interbank Networks [J].
Delpini, Danilo ;
Battiston, Stefano ;
Riccaboni, Massimo ;
Gabbi, Giampaolo ;
Pammolli, Fabio ;
Caldarelli, Guido .
SCIENTIFIC REPORTS, 2013, 3