Authors: Yongkun Li Li Yang Wanqin Wu
Publish Date: 2014/12/13
Volume: 26, Issue: 5, Pages: 1073-1084
Abstract
In this paper we first propose a concept of squaremean almost periodic function on timescales Then by means of the fixed point theory and differential inequality techniques on timescales we establish some sufficient conditions on the existence and global exponential stability of squaremean almost periodic solutions for a class of stochastic Hopfield neural networks with timevarying delays on timescales Our results are new even if the timescale mathbb T=mathbb R or mathbb Z Finally we present an example to illustrate our theoretical results
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