عنوان مقاله فارسی: همگام سازی تکانشی شبکه های عصبی واکنش-انتشار با تاخیرهای متغیر زمانی
عنوان مقاله لاتین: Pinning Impulsive Synchronization of Reaction–Diffusion Neural Networks With Time-Varying Delays
نویسندگان: Xinzhi Liu; Kexue Zhang; Wei-Chau Xie
تعداد صفحات: 12
سال انتشار: 2017
زبان: لاتین
Abstract:
This paper investigates the exponential synchronization of reaction-diffusion neural networks with time-varying delays subject to Dirichlet boundary conditions. A novel type of pinning impulsive controllers is proposed to synchronize the reaction-diffusion neural networks with time-varying delays. By applying the Lyapunov functional method, sufficient verifiable conditions are constructed for the exponential synchronization of delayed reaction-diffusion neural networks with large and small delay sizes. It is shown that synchronization can be realized by pinning impulsive control of a small portion of neurons of the network; the technique used in this paper is also applicable to reaction-diffusion networks with Neumann boundary conditions. Numerical examples are presented to demonstrate the effectiveness of the theoretical results.
pinning impulsive synchronization of reaction–diffusion neural networks with time-varying delays_1619695607_48027_4145_1392.zip1.32 MB |