Journal
NEURAL PROCESSING LETTERS
Volume 50, Issue 3, Pages 2053-2071Publisher
SPRINGER
DOI: 10.1007/s11063-019-09982-y
Keywords
Synchronization; Inertial memristor-based neural networks; Average impulsive interval approach; Impulsive controller
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This paper deals with the impulsive synchronization problem for a class of inertial memristor-based neural networks (IMNNs) with time delays by applying average impulsive interval approach. By adopting proper variable transformation, the original system can be converted into first-order differential equations. By utilizing Lyapunov theory, theory of differential inclusion, Halanay inequality and average impulsive interval approach, we attain some adequate conditions that make sure the exponential synchronization of IMNNs under the impulsive control technique. Moreover some delay-dependent conditions for delayed impulsive synchronization of the considered system is obtained. Finally, numerical simulations are offered to exhibit the capacity of our theoretical findings.
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