Aug 2026· IEEE Transactions on Cybernetics· Vol PP· 0 citations
Medicine
TL;DR
Comparative numerical simulations demonstrate the proposed method's superiority over conventional triggering schemes in both security performance and resource efficiency, validating the theoretical advancements.
Abstract
This article addresses the secure consensus problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs) under replay attacks through event-based asynchronous control. Different from the existing research on event-triggered schemes (ETSs), a novel adaptive parallel-triggering strategy is designed to efficiently utilize limited network bandwidth and flexibly cope with system state changes. To deal with cybersecurity threats and complex nonlinear problems, a novel security consensus model for MASs under replay attacks based on the T-S fuzzy model is proposed. Then, the concern of asynchronous premise variables is addressed. Theoretical foundations are established via Lyapunov-Krasovskii-based stability analysis, yielding a set of verifiable secure control criteria that guarantee leader-following consensus under replay attacks. Comparative numerical simulations demonstrate the proposed method's superiority over conventional triggering schemes in both security performance and resource efficiency, validating the theoretical advancements.
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