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

作者:

Highlights:

• The observer-based fuzzy containment control problem of nonlinear networked multi-agent systems suffered from denial-of-service attacks is studied in this paper. The highlights of this paper are summarized as follows:

• A new observer-based fuzzy containment control framework under DoS attacks is established. Then, an attack-dependent control scheme is proposed in this paper, in which the nonconvex design condition can be converted into a convex one with the aid of techniques of the rank decomposition and LMI.

• A periodic DoS attack mechanism is considered in the established control framework, in which the scheme of DoS attacks is divided into the attack period and sleeping period, and the successful probability of DoS attacks is assumed to obey Bernoulli distribution with the consideration of the energy limitation of DoS attacks.

摘要

•The observer-based fuzzy containment control problem of nonlinear networked multi-agent systems suffered from denial-of-service attacks is studied in this paper. The highlights of this paper are summarized as follows:•A new observer-based fuzzy containment control framework under DoS attacks is established. Then, an attack-dependent control scheme is proposed in this paper, in which the nonconvex design condition can be converted into a convex one with the aid of techniques of the rank decomposition and LMI.•A periodic DoS attack mechanism is considered in the established control framework, in which the scheme of DoS attacks is divided into the attack period and sleeping period, and the successful probability of DoS attacks is assumed to obey Bernoulli distribution with the consideration of the energy limitation of DoS attacks.

论文关键词:Multi-agent systems,Takagi-Sugeno fuzzy model,Denial-of-service attacks,Fuzzy containment control

论文评审过程:Received 31 August 2021, Revised 19 December 2021, Accepted 8 January 2022, Available online 1 February 2022, Version of Record 1 February 2022.

论文官网地址:https://doi.org/10.1016/j.amc.2022.126941