An algorithm to determine the index of structural controllability for network system

被引:0
|
作者
Gu Tian [1 ]
Li Xiaoli [1 ]
Zhao Shuguang [1 ]
Zou Chuanzhi [1 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China
关键词
network system; structural controllability; index of structural controllability;
D O I
10.1109/ICISCE.2016.179
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Along with expansion of the network scale, much more attention has been paid to the information transmission among nodes in network and the resulted control problem. Therefore, the index of structural controllability is introduced in this paper to characterize the performance indices when network system can be controlled within finite time. Furthermore, an algorithm is proposed to obtain the index and related control chains, which provides scientific basis for the corresponding study on the design of controllers and the effective division of subgroup in large-scale network.
引用
收藏
页码:819 / 823
页数:5
相关论文
共 50 条
  • [1] A MODIFIED ALGORITHM FOR DETERMINING STRUCTURAL CONTROLLABILITY
    BURROWS, CR
    SAHINKAYA, MN
    INTERNATIONAL JOURNAL OF CONTROL, 1983, 37 (06) : 1417 - 1431
  • [2] A NEW ALGORITHM FOR DETERMINING STRUCTURAL CONTROLLABILITY
    BURROWS, CR
    SAHINKAYA, MN
    INTERNATIONAL JOURNAL OF CONTROL, 1981, 33 (02) : 379 - 392
  • [3] Transformed Structural Properties Method to Determine the Controllability and Observability of Robots
    Ivan Martinez, Dany
    de Jesus Rubio, Jose
    Garcia, Victor
    Miguel Vargas, Tomas
    Antonio Islas, Marco
    Pacheco, Jaime
    Juliana Gutierrez, Guadalupe
    Alberto Meda-Campana, Jesus
    Mujica-Vargas, Dante
    Aguilar-Ibanez, Carlos
    APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [4] Effects of the network structural properties on its controllability
    Sorrentino, Francesco
    CHAOS, 2007, 17 (03)
  • [5] Structural Controllability of a Consensus Network With Multiple Leaders
    Mehrabadi, Milad Kazemi
    Zamani, Mohsen
    Chen, Zhiyong
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (12) : 5101 - 5107
  • [6] Network controllability of structural connectomes in the neonatal brain
    Sun H.
    Jiang R.
    Dai W.
    Dufford A.J.
    Noble S.
    Spann M.N.
    Gu S.
    Scheinost D.
    Nature Communications, 14 (1)
  • [7] Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
    Cowan, Noah J.
    Chastain, Erick J.
    Vilhena, Daril A.
    Freudenberg, James S.
    Bergstrom, Carl T.
    PLOS ONE, 2012, 7 (06):
  • [8] An Improved KM Algorithm for Computing Structural Index of DAE System
    Zeng, Yan
    Wu, Xuesong
    Cao, Jianwen
    2013 12TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES), 2013, : 95 - 99
  • [9] An improved KM algorithm for computing the structural index of DAE system
    Zeng, Yan
    Wu, Xuesong
    Cao, Jianwen
    Journal of Algorithms and Computational Technology, 2015, 9 (03): : 233 - 250
  • [10] Structural system identification using a neural network algorithm
    Chen, CH
    Yang, YB
    STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, 2003, : 587 - 592