IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v532y2019ics0378437119310337.html
   My bibliography  Save this article

Dynamic optimal control at Hopf bifurcation of a Newman–Watts model of small-world networks via a new PD1n scheme

Author

Listed:
  • Si, Lingzhi
  • Xiao, Min
  • Wang, Zhengxin
  • Huang, Chengdai
  • Cheng, Zunsgui
  • Tao, Binbin
  • Xu, Fengyu

Abstract

In this paper, a neoteric fractional-order Proportional–Derivative (PD) feedback controller is proposed to address the problem of bifurcation control for an integer-order small-world network model with discrete delay. The time delay is selected as the bifurcation parameter, and sufficient conditions for guaranteeing the stability and generating Hopf bifurcation are constructed by analyzing the stability of the controlled system. By regulating the controller parameters, the dynamic behavior for the controlled system can be effectively optimized. Finally, by simulating numerical examples, theoretical derivations are verified and the relationships between the onset of the Hopf bifurcation and the controller parameters are obtained.

Suggested Citation

  • Si, Lingzhi & Xiao, Min & Wang, Zhengxin & Huang, Chengdai & Cheng, Zunsgui & Tao, Binbin & Xu, Fengyu, 2019. "Dynamic optimal control at Hopf bifurcation of a Newman–Watts model of small-world networks via a new PD1n scheme," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
  • Handle: RePEc:eee:phsmap:v:532:y:2019:i:c:s0378437119310337
    DOI: 10.1016/j.physa.2019.121769
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119310337
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.121769?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, Chengdai & Liu, Heng & Chen, Xiaoping & Zhang, Minsong & Ding, Ling & Cao, Jinde & Alsaedi, Ahmed, 2020. "Dynamic optimal control of enhancing feedback treatment for a delayed fractional order predator–prey model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    2. He, Haoming & Xiao, Min & Lu, Yunxiang & Wang, Zhen & Tao, Binbin, 2023. "Control of tipping in a small-world network model via a novel dynamic delayed feedback scheme," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    3. He, Haoming & Xiao, Min & He, Jiajin & Zheng, Weixing, 2024. "Regulating spatiotemporal dynamics for a delay Gierer–Meinhardt model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(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:eee:phsmap:v:532:y:2019:i:c:s0378437119310337. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.