Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations

摘要

This paper investigates the synchronization control problem of coupled memristor-based neural networks (CMNNs) with mixed delays and stochastic perturbations. By utilizing simple feedback controllers, some novel sufficient conditions are derived to ensure the exponential synchronization of CMNNs with mixed delays and stochastic perturbations in mean square. In addition, by means of adaptive feedback controllers, the asymptotic synchronization of CMNNs with mixed delays and stochastic perturbations in mean square can also be achieved via stochastic LaSalle invariance principle. Numerical simulations are presented to illustrate the effectiveness of the theoretical results.