IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v500y2025ics0096300325001729.html
   My bibliography  Save this article

Quasi-synchronization of stochastic delayed multi-agent systems via gain-waving irregular intermittent control with its application in circuits

Author

Listed:
  • Li, Hanfei
  • Sun, Jiankun
  • Pan, Dong
  • Luo, Huchen
  • Li, Sen

Abstract

This paper focuses on the quasi-synchronization (Q-S) of stochastic heterogeneous delayed multi-agent systems (SHDMSs), in which a novel irregularly intermittent tactic with unbounded waving feedback gains (IIT-UWG) is imposed on the systems. By the IIT-UWG, the discontinuous control signals received outside hampers can be settled. And the presumable sabotage of actuators caused by the dramatic switching from a negative constant to zero of feedback gain will be averted. The properties of volatility and unboundedness for feedback gain expand the application range compared to previous strategy, while the present solution method is difficult to settle out these added properties, leading to challenges in the research of Q-S. For analyze the Q-S conducively, then we strike up a Halanay-mode inequality with inferior conservatism firstly. We represent a criterion of Q-S in virtue of Lyapunov method, the Halanay-mode inequality, and corresponding complete synchronization is developed. The design scheme of control gain in typical control problems is revealed. The paper concludes with an application and the parallel numerical examples in Chua's circuit.

Suggested Citation

  • Li, Hanfei & Sun, Jiankun & Pan, Dong & Luo, Huchen & Li, Sen, 2025. "Quasi-synchronization of stochastic delayed multi-agent systems via gain-waving irregular intermittent control with its application in circuits," Applied Mathematics and Computation, Elsevier, vol. 500(C).
  • Handle: RePEc:eee:apmaco:v:500:y:2025:i:c:s0096300325001729
    DOI: 10.1016/j.amc.2025.129445
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325001729
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129445?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.

    References listed on IDEAS

    as
    1. Cai, Shuiming & Hou, Meiyuan, 2021. "Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    2. Zhou, Jiaying & Zhao, Yi & Wu, ZhaoYan, 2019. "Cluster synchronization of fractional-order directed networks via intermittent pinning control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 22-33.
    3. Zhang, Guodong & Cao, Jinde, 2023. "New results on fixed/predefined-time synchronization of delayed fuzzy inertial discontinuous neural networks: Non-reduced order approach," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    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. Cheng, Tingting & Wang, Leimin & Wei, Zhouchao & Zhang, Guodong, 2024. "Fixed/preassigned-time stabilization of discontinuous switched systems with time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 476(C).
    2. Guo, Ying & Liu, Xiaotong & Long, Xue & Zhang, Junning, 2025. "Prescribed-time stabilization of stochastic complex dynamical networks with aperiodically intermittent pinning control," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    3. Zhang, Hai & Gao, Panqing & Ye, Renyu & Stamova, Ivanka & Cao, Jinde, 2025. "Fixed/Predefined time synchronization of fractional quaternion delayed neural networks with disturbances," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 232(C), pages 276-294.
    4. Shi, Jinyao & Zhou, Peipei & Cai, Shuiming & Jia, Qiang, 2023. "Exponential synchronization for multi-weighted dynamic networks via finite-level quantized control with adaptive scaling gain," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    5. Guo, Beibei & Xiao, Yu, 2023. "Intermittent synchronization for multi-link and multi-delayed large-scale systems with semi-Markov jump and its application of Chua’s circuits," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    6. Wang, Wentao & Wu, Jihui & Chen, Wei, 2025. "The characteristics method to study global exponential stability of delayed inertial neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 232(C), pages 91-101.
    7. Shen, Yafei & Shi, Jinyao & Cai, Shuiming, 2020. "Pinning synchronization of weighted bipartite networks with time-varying delays via aperiodic intermittent control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    8. Xu, Dongsheng & Xu, Jianju & He, Xiaojing & Su, Huan, 2023. "Synchronization for stochastic large-scale systems via intermittent delay discrete observation control," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    9. Sun, Wenjing & Tang, Ze & Feng, Jianwen & Park, Ju H., 2024. "Quasi-synchronization of heterogeneous neural networks with hybrid time delays via sampled-data saturating impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    10. Jia, You & Wu, Huaiqin & Cao, Jinde, 2020. "Non-fragile robust finite-time synchronization for fractional-order discontinuous complex networks with multi-weights and uncertain couplings under asynchronous switching," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    11. Yang, Dongsheng & Wang, Hu & Ren, Guojian & Yu, Yongguang & Xu, Weiyi, 2024. "Successive lag synchronization of distributed-order multilayer neural networks with the short-term memory property," Applied Mathematics and Computation, Elsevier, vol. 479(C).
    12. Cai, Shuiming & Hou, Meiyuan, 2021. "Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    13. Yu Yao & Guodong Zhang & Yan Li, 2023. "Fixed/Preassigned-Time Stabilization for Complex-Valued Inertial Neural Networks with Distributed Delays: A Non-Separation Approach," Mathematics, MDPI, vol. 11(10), pages 1-17, May.
    14. Xue, Haibo & Liu, Xinghua, 2023. "A novel fast terminal sliding mode with predefined-time synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    15. Xu, Yao & Liu, Xinzhi & Zhang, Lu & Li, Wenxue & Wu, Yongbao & Liu, Yang, 2024. "Fixed-time bipartite synchronization of nonlinear impulsive time-varying signed networks with delays," Applied Mathematics and Computation, Elsevier, vol. 480(C).
    16. Yan, Jiaye & Zhou, Jiaying & Wu, Zhaoyan, 2019. "Structure identification of unknown complex-variable dynamical networks with complex coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 256-265.
    17. Jia, Wenwen & Xie, Jingu & Guo, Haihua & Wu, Yongbao, 2024. "Intermittent boundary control for fixed-time stability of reaction–diffusion systems," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    18. Wang, Shasha & Jian, Jigui, 2023. "Predefined-time synchronization of incommensurate fractional-order competitive neural networks with time-varying delays," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    19. Zhang, Yinxing & Sun, Mengmeng & Li, Kezan, 2024. "Synchronization on complex dynamical networks via intermittently sampled-data pinning control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 654(C).
    20. Leng, Hui & Wu, Zhaoyan, 2019. "Impulsive synchronization of complex-variable network with distributed time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(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:apmaco:v:500:y:2025:i:c:s0096300325001729. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.