کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
406539 | 678092 | 2014 | 8 صفحه PDF | دانلود رایگان |
• We study high-order Hopfield neural networks (HHNNs) with time-varying delays and impulses.
• Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established.
• An example is given to show that impulses may influence the exponentially stable behavior of anti-periodic solution.
In this paper, we consider anti-periodic solutions of high-order Hopfield neural networks (HHNNs) with time-varying delays and impulses. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established by using Krasnoselski׳s fixed point theorem and Lyapunov functions with inequality techniques. In the end, example and numerical simulations are given to illustrate our main results.
Journal: Neurocomputing - Volume 138, 22 August 2014, Pages 339–346