IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i18p3984-d1243363.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/18/3984/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/18/3984/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Xuxi & Liu, Xianping & Lewis, Frank L. & Wang, Xia, 2020. "Bipartite tracking consensus of nonlinear multi-agent systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    2. Ana-Maria Giurea, 2016. "Time planning and Cost Management in Strategic Alliances," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 163-182, March.
    3. Wang, Wei & Huang, Chi & Huang, Chuangxia & Cao, Jinde & Lu, Jianquan & Wang, Li, 2020. "Bipartite formation problem of second-order nonlinear multi-agent systems with hybrid impulses," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    4. Xiuwen Chen & Qing Zhou & Zhigang Wang, 2024. "Causes of conflicts in standardization alliances related to the Belt and Road Initiative," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    5. Diestre, Luis, 2018. "Safety crises and R&D outsourcing alliances: Which governance mode minimizes negative spillovers?," Research Policy, Elsevier, vol. 47(10), pages 1904-1917.
    6. Habib Affes & Fatma Ayadi, 2014. "The Impact of New Management Accounting Practices on Strategic Buyer–Supplier Relationship within the Supply Chain: An Empirical Analysis within the Tunisian Context," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 185-200, April.
    7. Habib Affes & Fatma Ayadi, 2014. "The Impact of Contextual Factors on Improving the Relational Intangible Capital Related to the Supply Chain: An Empirical Analysis within the Tunisian Context," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 201-217, April.
    8. Yuzhe Miao & Jaeyong Song & Keun Lee & Chuyue Jin, 2018. "Technological catch-up by east Asian firms: Trends, issues, and future research agenda," Asia Pacific Journal of Management, Springer, vol. 35(3), pages 639-669, September.
    9. BeomJu Park & Chang-Yang Lee, 2023. "Does R&D cooperation with competitors cause firms to invest in R&D more intensively? evidence from Korean manufacturing firms," The Journal of Technology Transfer, Springer, vol. 48(3), pages 1045-1076, June.
    10. Mohamed Abd-El-Hakeem Mohamed & Hossam Seddik Abbas & Mokhtar Shouran & Salah Kamel, 2022. "A Neuro-Predictive Controller Scheme for Integration of a Basic Wind Energy Generation Unit with an Electrical Power System," Energies, MDPI, vol. 15(16), pages 1-24, August.
    11. Gao, Zilin & Guo, Changyuan & Li, Yongfu & Liu, Lizhi & Luo, Weimin, 2023. "Stabilization of a structurally balanced complex network with similar nodes of different dimensions," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    12. Lu, Jianquan & Guo, Xing & Huang, Tingwen & Wang, Zhen, 2019. "Consensus of signed networked multi-agent systems with nonlinear coupling and communication delays," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 153-162.
    13. Lopes, Ana Paula Vilas Boas Viveiros & de Carvalho, Marly Monteiro, 2018. "Evolution of the open innovation paradigm: Towards a contingent conceptual model," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 284-298.
    14. Jeho Lee & Jaeyong Song & Jae-Suk Yang, 2016. "Network structure effects on incumbency advantage," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1632-1648, August.
    15. Yang, Shiju & Li, Chuandong & He, Xiping & Zhang, Wanli, 2022. "Variable-time impulsive control for bipartite synchronization of coupled complex networks with signed graphs," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    16. Cinthia Peraza & Patricia Ochoa & Oscar Castillo & Zong Woo Geem, 2022. "Interval-Type 3 Fuzzy Differential Evolution for Designing an Interval-Type 3 Fuzzy Controller of a Unicycle Mobile Robot," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    17. James Hayton & Paul Olk, 2013. "Developing alliance formation process capabilities: replication, adaptation and flexibility in creating research and development consortia," Research Papers 0013, Enterprise Research Centre.
    18. Chia Sun, 2014. "A conceptual framework for R&D strategic alliance assessment for Taiwan’s biotechnology industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 259-279, January.
    19. Exequiel Hernandez & Anoop Menon, 2018. "Acquisitions, Node Collapse, and Network Revolution," Management Science, INFORMS, vol. 64(4), pages 1652-1671, April.
    20. Zhai, Shidong & Huang, Tao & Luo, Guoqiang & Wang, Xin & Ma, Jun, 2022. "Pinning bipartite synchronization for coupled nonlinear systems with antagonistic interactions and time delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3984-:d:1243363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.