Fault-Tolerant Containment Control for IT2 Fuzzy Networked Multiagent Systems Against Denial-of-Service Attacks and Actuator Faults

This article investigates the fault-tolerant containment control issue for uncertain nonlinear networked multiagent systems (MASs) under denial-of-service (DoS) attacks and actuator faults by interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model. The lower and upper membership functions (LUMFs) are first applied to networked MASs to capture parameter uncertainties. The malicious behavior of DoS attacks that cause the loss of information for MASs is considered. Whereafter, based on attack situations, i.e., whether the attack invades the communication channels successfully or not, the uncertain nonlinear networked MAS is remodeled as a switched version with four subsystems and analyzed via the average dwell-time approach. In view of long-term utilization or burn-in of components, the actuator faults are taken into account for considered MASs. Afterward, on the basis of the Lyapunov stability theory, a novel IT2 fuzzy dynamic containment control protocol is proposed such that the states of followers can converge to the convex hull governed by those of leaders in spite of DoS attacks and actuator faults. Finally, a demonstrative example is shown to illustrate the effectiveness and practicabilities of the proposed fuzzy containment control strategy.

Automated summary

This article investigates fault-tolerant containment control for uncertain nonlinear networked multiagent systems under DoS attacks and actuator faults using IT2 Takagi-Sugeno fuzzy model. Through modeling and analysis, a novel control protocol is proposed based on Lyapunov stability theory to achieve convergence of follower states despite uncertainties. The study considers the impact of parameter uncertainties, DoS attacks, and actuator faults on system stability, presenting an innovative approach to address these challenges.