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

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

Applied Mathematics and Computation, 2022, vol. 421, issue C

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.

Keywords: Multi-agent systems; Takagi-Sugeno fuzzy model; Denial-of-service attacks; Fuzzy containment control (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:421:y:2022:i:c:s0096300322000273

DOI: 10.1016/j.amc.2022.126941

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