Oct 2026· IEEE Internet of Things Journal· Vol 13, pp. 45524-45536· 0 citations· 38 references
Abstract
Multiagent systems (MASs) rely on communication networks to exchange information, which are vulnerable to denial-of-service (DoS) attacks. DoS attacks not only disrupt the communication channels but also lead to the instability of MASs. Thus, it is an important and challenging topic to study the resilient cooperative control problem under DoS attacks. This article studies the fixed-time fuzzy resilient cooperative output regulation problem for nonlinear MASs over directed graphs under DoS attacks. First, the considered nonlinear MASs are modeled by Takagi–Sugeno (T–S) fuzzy systems. Since the considered communication topology of the controlled systems is vulnerable to DoS attacks, the leader states cannot be obtained by agents; then, a fixed-time fuzzy distributed resilient observer is developed to estimate the leader states. The developed fuzzy resilient observer can guarantee that the estimation errors converge to zero in a finite time interval. In control design, the controlled systems are transformed into the controllable canonical linear time-varying (LTV) MASs by using nonsingular Lyapunov transformations. Then, based on the designed fuzzy resilient observer, a fuzzy fixed-time distributed resilient regulator is proposed. It is proved that the proposed fuzzy fixed-time resilient cooperative output regulation scheme can ensure that regulated errors converge to zero in a finite time interval. Finally, we apply the developed fuzzy fixed-time resilient control method to multiple autonomous surface vehicle (ASV) systems in maritime Internet of Things (IoT) systems; the simulation and comparison results verify the effectiveness of the developed fixed-time resilient control approach.
Comparative numerical simulations demonstrate the proposed method's superiority over conventional triggering schemes in both security performance and resource efficiency, validating the theoretical advancements.
Jinyuan Zhang, Xiao Luo, Xiao-Lei Li et al.· IEEE Transactions on Cyberne...· 0 citations
This article presents a prescribed-time (PT) fully distributed control scheme for multiagent systems to address the leader-following consensus challenges under denial-of-service (DoS) attacks. Initially, two novel practical PT stability criteria incorporating attack characteristics are developed. These criteria accommo...
Zhou-Jia Zhao, Ji-Xing Lv, Guan Wang et al.· IEEE Transactions on Automat...· 0 citations
This paper investigates the resilient leader–follower consensus problem for a class of memory-dependent fractional-order multi-agent systems (FOMASs) with mixed communication delays, uncertain nonlinear dynamics, norm-bounded parametric uncertainties, and intermittent Denial-of-Service (DoS) attacks. The goal is to ens...
Shahid Hussain Gurmani, Maria Maria, Khawar Hameed Khan et al.· Fractal and Fractional· 0 citations
This article studies the output consensus issue for a class of heterogeneous two-time-scale multiagent systems (HTTS-MASs) under denial-of-service (DoS) attacks. A novel output consensus control framework, integrating a resilient distributed observer and a composite controller, is built as the first attempt for HTTSMAS...
Ying Zhang, Lin-Na Zhou, Lei Ma et al.· IEEE/CAA Journal of Automati...· 0 citations
This paper investigates safe leader-following consensus of heterogeneous nonlinear Caputo fractional-order multi-agent systems under simultaneous denial-of-service (DoS), sensor-deception, and actuator-deception attacks. A joint augmented observer reconstructs the local state and two deception channels, while a distrib...
This study investigates the fixed-time quasi-consensus and quasi-containment control for multi-agent systems (MASs) under non-periodic unknown denial-of-service (DoS) attacks. Most available strategies fail to construct fixed-time observers and feasible corresponding parameter tuning rules to guarantee the precise fixe...
J. Han, He Jiang, Kezheng Jiang· Mathematics· 1 citation
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