Periodic Solutions for Shunting Inhibitory Cellular Neural Networks of Neutral Type with Time-Varying Delays in the Leakage Term on Time Scales

Periodic Solutions for Shunting Inhibitory Cellular Neural Networks of Neutral Type with Time-Varying Delays in the Leakage Term on Time Scales
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时间尺度上泄漏项时变延迟的分流中性型抑制性细胞神经网络的周期解

DOI:
10.1155/2014/496396
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发表时间:
2014-02
影响因子:
--
通讯作者:
Yu Fei
Yu Fei
中科院分区:
--
文献类型:
--
作者:
Yongkun Li;Lei Wang;Yu Fei

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提出了一类时标上泄漏项具有时变时滞的分流抑制型中立型细胞神经网络。基于时标上线性动力方程的指数二分性、不动点定理和时标上的微积分,我们得到了这类神经网络周期解的存在性和全局指数稳定性的充分条件.本文的结果是完全新的和补充以前已知的结果,即使时间尺度或。此外,我们提出了说明性的数值例子来显示我们的结果的可行性。
A class of shunting inhibitory cellular neural networks of neutral type with time-varying delays in the leakage term on time scales is proposed. Based on the exponential dichotomy of linear dynamic equations on time scales, fixed point theorems, and calculus on time scales we obtain some sufficient conditions for the existence and global exponential stability of periodic solutions for that class of neural networks. The results of this paper are completely new and complementary to the previously known results even if the time scale or . Moreover, we present illustrative numerical examples to show the feasibility of our results.
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