Event-triggered impulsive synchronization of coupled delayed memristive neural networks under dynamic and static conditions

This paper aims to address the exponential synchronization issue of coupled delayed memristive neural networks (CDMNNs) via event-triggered impulsive control (ETIC). To do this, a fresh controller based on the hybrid state feedback and impulsive effects is devised to efficiently lessen the communication load and economic cost. Then, the event-triggered conditions for two types of strategies including static event-triggered impulsive control (SETIC) and dynamic event-triggered impulsive control (DETIC) are presented. Furthermore, some algebraic criteria are derived to synchronize the CDMNNs by utilizing the Lyapunov method, the interval matrix method and impulsive system theory. Moreover, it can be guaranteed that the Zeno phenomenon does not emerge. Ultimately, the availability and feasibility of the propounded scheme are substantiated through an illustrated instance.