Simulation study demonstrates robust asymptotic stability in fuzzy complex networked systems under concurrent cyberattacks, highlighting improved communication efficiency.
This article considers the problem of non-fragile event-triggered control for IT2 fuzzy multi-weighted complex networked system with time-varying coupling delay subject to multiple attacks. Attacks such as denial-of-service, reply, and deception are all examined concurrently because fuzzy networked systems are vulnerable. Complex networked systems are susceptible to threats such as malevolent attacks and restricted bandwidth. Initially, a non-fragile event-triggered control mechanism is described, and mathematically demonstrated to be free of the Zeno phenomenon, to minimise the bandwidth used during attacks in the additional control loop. As a result, communication resources can be preserved and the frequency of event triggers can be decreased. Using the Lyapunov-Krsovskii functional, we detect an adequate condition to ensure asymptotic stability in the closed-loop system. The observer gain matrix and the controller gain matrix are obtained using the linear matrix inequalities approach. Lastly, the efficacy of the proposed technique is demonstrated using the simulation findings.
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Tajudeen et al. (2026) studied this question.
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