Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach

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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neural processing letters 2019-12, Vol.50 (3), p.2053-2071
Hauptverfasser:	Rakkiyappan, R., Gayathri, D., Velmurugan, G., Cao, Jinde
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Complex Systems Computational Intelligence Computer Science Differential equations Investigations Memristors Neural networks Signal processing Synchronism Time lag
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!