Abstract
This paper addresses the finite-time synchronization (FTS) issue of delayed fuzzy inertial neural networks (DFINNs) via intermittent control. The considered network model takes the inertia term and fuzzy logic into account, which complements some of the existing models. By an appropriate variable substitution, the second-order DFINNs are turned into first-order equation forms. Then, based on the finite-time stability theory, intermittent control strategies are adopted to ensure the FTS of DFINNs and the corresponding criteria are derived thereafter. Besides, the estimation of settling-time for FTS is presented. Finally, the numerical simulations and the image encryption application are presented to illustrate the validity of main results and the control method.
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