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Modeling and Control of Wide-Area Networks

Author

Listed:
  • Qiuzhen Wang

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Jiangping Hu

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China)

Abstract

This paper provides a survey of recent research progress in mathematical modeling and distributed control of wide-area networks. Firstly, the modeling is introduced for two types of wide-area networks, i.e., coopetitive networks and cooperative networks, with the help of algebraic graph theory. Particularly, bipartite network topologies and cluster network topologies are introduced for coopetitive networks. With respect to cooperative networks, an intermittent clustered network modeling is presented. Then, some classical distributed control strategies are reviewed for wide-area networks to ensure some desired collective behaviors, such as consensus (or synchronization), bipartite consensus (or polarization), and cluster consensus (or fragmentation). Finally, some conclusions and future directions are summarized.

Suggested Citation

  • Qiuzhen Wang & Jiangping Hu, 2023. "Modeling and Control of Wide-Area Networks," Mathematics, MDPI, vol. 11(18), pages 1-24, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3984-:d:1243363
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    References listed on IDEAS

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    1. Ayman A. Aly & Bassem F. Felemban & Ardashir Mohammadzadeh & Oscar Castillo & Andrzej Bartoszewicz, 2021. "Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis," Energies, MDPI, vol. 14(22), pages 1-21, November.
    2. Yaser Bostani & Saeid Jalilzadeh & Saleh Mobayen & Thaned Rojsiraphisal & Andrzej Bartoszewicz, 2022. "Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach," Energies, MDPI, vol. 15(5), pages 1-15, February.
    3. Guo, Xing & Lu, Jianquan & Alsaedi, Ahmed & Alsaadi, Fuad E., 2018. "Bipartite consensus for multi-agent systems with antagonistic interactions and communication delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 488-497.
    4. Lee, Jeho & Park, Seung Ho & Ryu, Young & Baik, Yoon-Suk, 2010. "A hidden cost of strategic alliances under Schumpeterian dynamics," Research Policy, Elsevier, vol. 39(2), pages 229-238, March.
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