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Matching Algorithms of Minimum Input Selection for Structural Controllability Based on Semi-Tensor Product of Matrices

FAN Naqi1, ZHANG Lijun1,2, ZHANG Shenggui3, LIU Jiuqiang4   

  1. 1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China;
    2. School of Marine Technology, Northwestern Polytechnical University, Xi'an 710072, China;
    3. School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710129, China;
    4. College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China
  • Received:2021-06-02 Revised:2021-09-25 Online:2022-10-25 Published:2022-10-12
  • Supported by:
    This research was supported by the National Natural Science Foundation of China under Grant Nos.61573288,12071370,U1803263,71973103 and Key Programs in Shaanxi Province of China under Grant No.2021JZ-12.

FAN Naqi, ZHANG Lijun, ZHANG Shenggui, LIU Jiuqiang. Matching Algorithms of Minimum Input Selection for Structural Controllability Based on Semi-Tensor Product of Matrices[J]. Journal of Systems Science and Complexity, 2022, 35(5): 1808-1823.

In 2011,Liu,et al.investigated the structural controllability of directed networks.They proved that the minimum number of input signals,driver nodes,can be determined by seeking a maximum matching in the directed network.Thus,the algorithm for seeking a maximum matching is the key to solving the structural controllability problem of directed networks.In this study,the authors provide algebraic expressions for matchings and maximum matchings proposed by Liu,et al.(2011) via a new matrix product called semi-tensor product,based on which the corresponding algorithms are established to seek matchings and maximum matchings in digraphs,which make determining the number of driver nodes tractable in computer.In addition,according to the proposed algorithm,the authors also construct an algorithm to distinguish critical arcs,redundant arcs and ordinary arcs of the directed network,which plays an important role in studying the robust control problem.An example of a small network from Liu's paper is used for algorithm verification.
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