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Keywords:
prescribed-time synchronization; event-triggered control; pinning control; memristive neural networks; Zeno behavior
prescribed-time synchronization; event-triggered control; pinning control; memristive neural networks; Zeno behavior
Summary:
This paper investigates the issues of prescribed-time synchronization for memristive neural networks with time-varying delay by event-triggered pinning control. To conserve resources and enhance control efficiency, two event-based control schemes and the measurement error function are obtained. Then, using Lyapunov stability theory and inequality techniques, some sufficient conditions are obtained to ensure the prescribed time synchronization of the response system and the drive system. Furthermore, under the two event trigger conditions, a positive lower bound on the inter-event time is derived respectively to ensure that Zeno behavior can be excluded during the whole time span except the prescribed settling time. Finally, numerical simulations are provided to illustrate the effectiveness of the obtained theoretical results.
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