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Local and global Hopf bifurcation analysis in a neutral-type neuron system with two delays

机译:具有两个延迟的中性型神经元系统中的本地和全球HOPF分发分析

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In recent years, neutral-type differential-difference equations have been applied extensively in the field of engineering, and their dynamical behaviors are more complex than that of the delay differential-difference equations. In this paper, the equations used to describe a neutral-type neural network system of differential difference equation with two delays are studied (i.e. neutral-type differential equations). Firstly, by selecting T-1 T-2 respectively as a parameter, we provide an analysis about the local stability of the zero equilibrium point of the equations, and sufficient conditions of asymptotic stability for the system are derived. Secondly, by using the theory of normal form and applying the theorem of center manifold introduced by Hassard et al., the Hopf bifurcation is found and some formulas for deciding the stability of periodic solutions and the direction of Hopf bifurcation are given. Moreover, by applying the theorem of global Hopf bifurcation, the existence of global periodic solution of the system is studied. Finally, an example is given, and some computer numerical simulations are taken to demonstrate and certify the correctness of the presented results.
机译:近年来,中性型差差方程已经广泛应用于工程领域,并且它们的动态行为比延迟差分方程的动态行为更复杂。本文研究了用于描述具有两个延迟的差分差分方程的中性型神经网络系统的等式(即中立型微分方程)。首先,通过选择T-1 T-2作为参数,我们提供了关于方程式零平衡点的局部稳定性的分析,并且导出了系统的充分渐近稳定性条件。其次,通过使用正常形式的理论并应用Hassard等人引入的中心歧管的定理,给出了HopF分叉分叉,并给出了一些用于定期溶液稳定性的公式和跳跃分叉的方向。此外,通过应用全球Hopf分岔的定理,研究了该系统的全局周期性解的存在。最后,给出了一个例子,并采取了一些计算机数值模拟来证明和证明所提出的结果的正确性。

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