Pinning-Controllability Analysis of Complex Networks: An M-Matrix Approach

被引:133
|
作者
Song, Qiang [1 ,2 ]
Liu, Fang [3 ]
Cao, Jinde [4 ]
Yu, Wenwu [4 ,5 ]
机构
[1] Hangzhou Dianzi Univ, Sch Elect & Informat, Hangzhou 310018, Zhejiang, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
[3] Huanghuai Univ, Sch Informat Engn, Huanghuai 463000, Henan, Peoples R China
[4] Southeast Univ, Dept Math, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China
[5] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia
基金
美国国家科学基金会; 高等学校博士学科点专项科研基金;
关键词
Complex network; directed spanning tree; M-matrix; pinning-controllability; synchronization; DYNAMICAL NETWORKS; SYSTEMS; SYNCHRONIZATION; CONSENSUS; TOPOLOGIES; BOUNDS;
D O I
10.1109/TCSI.2012.2190573
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
This paper presents a systematic framework to analyze the global pinning-controllability of general complex networks with or without time-delay based on the properties of M-matrices and directed spanning trees. Some stability criteria are established to guarantee that a network can be globally asymptotically pinned to a homogenous state. By partitioning the interaction diagraph into a minimum number of components, a selective pinning scheme for a complex network with arbitrary topology is proposed to determine the number and the locations of the pinned nodes. In particular, this paper deeply investigates the roles of network nodes in the pinning control, including what kind of nodes should be pinned and what kind of nodes may be left unpinned. Numerical simulations are given to verify the theoretical analysis.
引用
收藏
页码:2692 / 2701
页数:10
相关论文
共 50 条
  • [1] Criteria for global pinning-controllability of complex networks
    Porfiri, Maurizio
    di Bernardo, Mario
    AUTOMATICA, 2008, 44 (12) : 3100 - 3106
  • [2] Pinning synchronization of nonlinearly coupled complex networks with time-varying delays using M-matrix strategies
    Wang, Jingyi
    Feng, Jianwen
    Xu, Chen
    Zhao, Yi
    Feng, Jiqiang
    NEUROCOMPUTING, 2016, 177 : 89 - 97
  • [3] Event-Triggering Sampling Based Synchronization of Delayed Complex Dynamical Networks: An M-matrix Approach
    Tang, Yang
    ADVANCES IN NEURAL NETWORKS, PT I, 2017, 10261 : 475 - 482
  • [4] Pinning Controllability of Complex Stochastic Networks
    Burbano-L, Daniel A.
    Russo, Giovanni
    di Bernardo, Mario
    IFAC PAPERSONLINE, 2017, 50 (01): : 8327 - 8332
  • [5] Exponential synchronization of chaotic neural networks with time delays: a M-matrix approach
    Xing, Z.
    Peng, J.
    Wang, K.
    NONLINEAR DYNAMICS, 2010, 62 (04) : 867 - 874
  • [6] Synchronization for coupled networks with Markov switching: ergodicity and M-matrix method
    Pan, Lijun
    Cao, Jinde
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2018, 35 (01) : 35 - 56
  • [7] Stochastic Pinning Controllability of Noisy Complex Networks
    Rossa, Fabio Della
    DeLellis, Pietro
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (04): : 1678 - 1687
  • [8] Pinning Controllability Analysis of Complex Networks With a Distributed Event-Triggered Mechanism
    Gao, Lan
    Liao, Xiaofeng
    Li, Huaqing
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2014, 61 (07) : 541 - 545
  • [9] Pinning controllability of complex networks with community structure
    Miao, Qingying
    Tang, Yang
    Kurths, Juergen
    Fang, Jian-an
    Wong, W. K.
    CHAOS, 2013, 23 (03)
  • [10] Enhancing Pinning Controllability of Complex Networks Through Link Rewiring
    Jalili, Mahdi
    Yu, Xinghuo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2017, 64 (06) : 690 - 694