This paper studies the double event-triggered synchronization (ETS) of neutral-type semi-Markovian jump (SMJ) neural networks under synchronous attacks. Firstly, synchronous attacks are modeled by an independent semi-Markovian jump process. Secondly, the double dynamic event-triggered mechanisms (DDETMs) introduced offer the advantage of conserving communication resources and alleviating the computational burden.
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