This paper investigates the synchronization of neural networks with switching topology under dynamic event-triggered impulsive control with delays. First, a general delayed-time impulsive model is adopted, allowing for a more realistic representation of impulsive effects in neural networks. Second, a new dynamic event-triggered impulsive control scheme is designed, which reduces communication and computation costs and avoids Zeno behavior. Finally, less conservative synchronization criteria are derived, enabling the analysis of more general cases involving neural networks with switching topology, dynamic event-triggered impulsive control, and delayed-time impulses. Numerical examples are provided to demonstrate the effectiveness and superiority of the proposed methods.
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