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This paper investigates the synchronization problem for master‐slave stochastic memristive neural networks (SMNNs) with time‐delay via event‐triggered impulsive control (ETIC). Firstly, a novel ETIC method is designed for SMNNs to realize quasi‐synchronization in mean square sense. Different from time‐triggered impulsive control (TTIC) in the existing results on SMNNs, the proposed event‐triggered method determines impulsive instants based on the real‐time system states, which can reduce redundant impulses. Compared with the existing ETIC for deterministic memristive neural networks (MNNs), the proposed event‐triggered mechanism (ETM) can exclude Zeno behavior completely by adding the waiting time, when stochastic disturbances occur in MNNs. Secondly, if the master SMNNs have nonzero control inputs, an adaptive‐impulsive hybrid controller with ETM is designed to realize almost surely exponential synchronization. Under the ETM, the number of transmitted events is reduced, then control resources can be saved. Zeno behavior can be excluded in almost sure sense. Ultimately, simulations are presented to illustrate the validity of the obtained results. [ABSTRACT FROM AUTHOR]

This article investigates the event-triggered H∞ control for networked switched systems under multiple attacks and transmission delay. A novel model of multiple attacks is constructed by considering stochastic false data injection attack and periodic denial-of-service (DoS) attack. The event-triggered strategy is proposed by using the mode information of switched system and periodicity of DoS attack. Then, sufficient conditions are obtained to ensure mean-square exponential stability and H∞ performance of the closed-loop switched system. Furthermore, the controller gains and event-triggered parameters of subsystems are derived. Finally, a numerical example is given to verify the effectiveness and feasibility of the results. [ABSTRACT FROM AUTHOR]