Suppr超能文献

时变时滞依赖状态的脉冲分流抑制 CNN 的周期解。

Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays.

机构信息

Department of Mathematics, Middle East Technical University, 06531 Ankara, Turkey.

Gazi University, Polatlı Faculty of Science and Arts, Department of Mathematics, 06900 Ankara, Turkey; Institute of Applied Mathematics, Middle East Technical University, 06531 Ankara, Turkey.

出版信息

Neural Netw. 2015 Aug;68:1-11. doi: 10.1016/j.neunet.2015.04.004. Epub 2015 Apr 21.

Abstract

In this paper, we consider existence and global exponential stability of periodic solution for state-dependent impulsive shunting inhibitory cellular neural networks with time-varying delays. By means of B-equivalence method, we reduce these state-dependent impulsive neural networks system to an equivalent fix time impulsive neural networks system. Further, by using Mawhin's continuation theorem of coincide degree theory and employing a suitable Lyapunov function some new sufficient conditions for existence and global exponential stability of periodic solution are obtained. Previous results are improved and extended. Finally, we give an illustrative example with numerical simulations to demonstrate the effectiveness of our theoretical results.

摘要

在本文中,我们研究了时变时滞状态依赖脉冲分流抑制细胞神经网络的周期解的存在性和全局指数稳定性。通过 B-等价方法,我们将这些状态依赖脉冲神经网络系统简化为等效的固定时间脉冲神经网络系统。进一步,利用 Mawhin 的重合度理论的连续性定理,并采用合适的 Lyapunov 函数,得到了周期解存在性和全局指数稳定性的一些新的充分条件。改进和推广了以前的结果。最后,我们给出了一个数值模拟的实例来说明我们理论结果的有效性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验