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Existence and Stability of Pseudo Almost Periodic Solution for Neutral Type High-Order Hopfield Neural Networks with Delays in Leakage Terms on Time Scales

机译:具有时标泄漏项的时滞中立型高阶Hopfield神经网络的伪概周期解的存在性和稳定性

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摘要

Using the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, we obtain some sufficient conditions for the existence and global exponential stability of pseudo almost periodic solutions for a class of neutral type high-order Hopfield neural networks with delays in leakage terms on time scales. Our results show that the continuous-time neural network and its discrete-time analogue have the same dynamical behaviors. Finally, we give a numerical example and simulation to illustrate the feasibility of our results. Results of this paper are completely new even if the time scale or .
机译:利用时标上的线性动力学方程的指数二分法,不动点定理和时标上的微积分理论,我们为一类中立型高阶方程组的拟概周期解的存在性和全局指数稳定性提供了一些充分的条件。在时标上具有泄漏项延迟的有序Hopfield神经网络。我们的结果表明,连续时间神经网络及其离散时间模拟具有相同的动力学行为。最后,我们给出一个数值例子和仿真来说明我们的结果的可行性。即使时间尺度或时间尺度不变,本文的结果也是全新的。

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