Towards Stabilizable Large-Scale Boolean Networks By Controlling the Minimal Set of Nodes

Shiyong Zhu, Jinde Cao*, Lin Lin, James Lam, Shun-ichi Azuma

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

57 Citations (Scopus)

Abstract

This paper studies structural controllers and distributed pinning controllers for the global stabilization of Boolean networks (BNs) by integrating the information on their network structures with nodal dynamics. The main contribution is that several computationally efficient procedures are presented to reduce the number of controlled nodes and to determine a minimal set of controlled nodes without using the brute-force searches. The primary objective is to identify a minimal set of nodes that need to be controlled in the structural controllers for the strong structural stabilization of BNs when network structures is available yet nodal dynamics are unknown. To this end, a theorem shows this minimum controlled node problem can be addressed by seeking the minimum feedback vertex set of network structure. The subsequent part concentrates on designing distributed pinning controllers that merely rely on the node-to-node information exchanges for the global stabilization of BNs with the full knowledge of the nodal dynamics. Several sufficient conditions are provided by utilizing the irreducibility and activation-inhibition network structures to reduce the conservatism. Notably, we claim that, for regulatory BNs without positive cycles, the minimal set of pinned nodes can be determined with a linear amount of time subject to the total number of logical operators in the nodal dynamics. Finally, the effectiveness of these results are validated by three case studies. © 2023 IEEE
Original languageEnglish
Pages (from-to)174-188
JournalIEEE Transactions on Automatic Control
Volume69
Issue number1
Online published21 Apr 2023
DOIs
Publication statusPublished - Jan 2024

Funding

This work was supported in part by the National Key Research and Development Project of China under Grant 2020YFA0714301, in part by the National Natural Science Foundation of China under Grant 61833005 and Grant 61973078, in part by the General Research Fund under Grant 17201820, and in part by the Grant-in-Aid for Transformative Research Areas (A) under Grant 20H05969 (Molecular Cybernetics-Development of Minimal Artificial Brain by the Power of Chemistry) from the Ministry of Education, Culture, Sports, Science and Technology of Japan. Recommended by Associate Editor C. Gao.

Research Keywords

  • Aerospace electronics
  • Boolean networks
  • Computational efficiency
  • Controllability
  • distributed pinning control
  • minimal node control
  • Neurons
  • Observability
  • stabilization
  • structural control
  • Urban areas
  • Writing

RGC Funding Information

  • RGC-funded

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