Advances in Network Controllability

被引:111
作者
Xiang, Linying [1 ]
Chen, Fei [1 ,2 ]
Ren, Wei [3 ]
Chen, Guanrong [4 ]
机构
[1] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Liaoning, Peoples R China
[3] Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
[4] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
MULTIAGENT SYSTEMS; COMPLEX NETWORKS; STRUCTURAL CONTROLLABILITY; EDGE DYNAMICS; CONSENSUS; ROBUSTNESS;
D O I
10.1109/MCAS.2019.2909446
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The last decade has seen an explosion of research in network controllability. The present article reviews some basic concepts, significant progress, important results and recent advances in the studies of the controllability of networked linear dynamical systems, regarding the relationship of the network topology, node-system dynamics, external control inputs and inner dynamical interactions with the controllability of such complex networked dynamical systems. Different approaches to analyzing the network controllability are evaluated. Some advanced topics on the selection of driver nodes, optimization of network controllability and control energy are discussed. Potential applications to real-world networked systems are also described. Finally, a near-future research outlook is highlighted.
引用
收藏
页码:8 / 32
页数:25
相关论文
共 99 条
[11]   Evolution of Controllability in Interbank Networks [J].
Delpini, Danilo ;
Battiston, Stefano ;
Riccaboni, Massimo ;
Gabbi, Giampaolo ;
Pammolli, Fabio ;
Caldarelli, Guido .
SCIENTIFIC REPORTS, 2013, 3
[12]   Optimizing the controllability index of directed networks with the fixed number of control nodes [J].
Ding, Jin ;
Tan, Ping ;
Lu, Yong-Zai .
NEUROCOMPUTING, 2016, 171 :1524-1532
[13]   Control backbone: An index for quantifying a node's importance for the network controllability [J].
Ding, Jin ;
Lu, Yong-Zai .
NEUROCOMPUTING, 2015, 153 :309-318
[14]  
Fuhrmann P. A., 2015, MATH NETWORKS LINEAR
[15]   Controllability of structural brain networks [J].
Gu, Shi ;
Pasqualetti, Fabio ;
Cieslak, Matthew ;
Telesford, Qawi K. ;
Yu, Alfred B. ;
Kahn, Ari E. ;
Medaglia, John D. ;
Vettel, Jean M. ;
Miller, Michael B. ;
Grafton, Scott T. ;
Bassett, Danielle S. .
NATURE COMMUNICATIONS, 2015, 6
[16]   Further on the controllability of networked MIMO LTI systems [J].
Hao, Yuqing ;
Duan, Zhisheng ;
Chen, Guanrong .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2018, 28 (05) :1778-1788
[17]   Controllability and observability of an n-link robot with multiple active links [J].
Hao, Yuqing ;
Duan, Zhisheng ;
Wen, Guanghui .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (18) :4633-4647
[18]   Temporal networks [J].
Holme, Petter ;
Saramaki, Jari .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2012, 519 (03) :97-125
[19]  
Hong ZC, 2017, 2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), P1183, DOI 10.1109/YAC.2017.7967592
[20]  
Hopcroft J. E., 1973, SIAM Journal on Computing, V2, P225, DOI 10.1137/0202019