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Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks

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  • Ma, Yong-Sheng
  • Che, Wei-Wei
  • Deng, Chao

Abstract

The observer-based fuzzy containment control problem of nonlinear networked multi-agent systems (MASs) suffered from denial-of-service (DoS) attacks is studied in this paper. The studied nonlinear networked MASs are expressed by the Takagi-Sugeno (T-S) fuzzy model. For each agent, the sensor sends measurements to the controller through a non-ideal wireless network that may be attacked. Due to the fact that system states are unmeasurable, a fuzzy observer design method is proposed to resist DoS attacks. Based on observer states, a novel resilient containment controller is designed to compensate for DoS attacks and achieve the states containment objective. The proposed controller design method can convert the nonconvex design condition into a convex one by using the rank decomposition method combined with DoS attacks effect. Finally, simulation is shown to testify the effectiveness of the designed fuzzy observer and containment controller.

Suggested Citation

  • Ma, Yong-Sheng & Che, Wei-Wei & Deng, Chao, 2022. "Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks," Applied Mathematics and Computation, Elsevier, vol. 421(C).
    • Handle: RePEc:eee:apmaco:v:421:y:2022:i:c:s0096300322000273
    DOI: 10.1016/j.amc.2022.126941
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    References listed on IDEAS

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    1. Wei Chen & Derui Ding & Guoliang Wei & Sunjie Zhang & Yurong Li, 2018. "Event-based containment control for multi-agent systems with packet dropouts," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(12), pages 2658-2669, September.
    2. Song, Yunbo & Ye, Dan, 2021. "Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    3. Chang, Xiao-Heng & Jin, Xue, 2022. "Observer-based fuzzy feedback control for nonlinear systems subject to transmission signal quantization," Applied Mathematics and Computation, Elsevier, vol. 414(C).
    4. Lü, Shao-Yu & Jin, Xiao-Zheng & Wang, Hai & Deng, Chao, 2021. "Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    5. Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
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    Cited by:

    1. Hu, Yifan & Liu, Wenhui & Liu, Guobao, 2022. "Adaptive finite‐time event‐triggered control for uncertain nonlinearly parameterized systems with unknown control direction and actuator failures," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    2. Wang, Xi & Ju, Yamei & Ding, Derui & Liu, Hongjian, 2024. "Cooperative fault-tolerant tracking control for multi-agent systems: A multiple description encoding scheme," Applied Mathematics and Computation, Elsevier, vol. 462(C).

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