Bifurcation Control for a Neuron Model

L. Ding
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Abstract

Bifurcation refers to qualitative changes in the solution structure of dynamical systems occurring with slight variation in system parameters. Bifurcation would occur in FitzHugh-Nagumo (FHN) model and many diseases are closely linked to a variety of bifurcations of nervous system. In this paper, washout filter aided control laws are developed for regulating the oscillation amplitude of the bifurcated limit cycle. Control term can be deduced according to centre manifold and normal form theory. Moreover, simulation results show that controllers are effective and flexible
神经元模型的分岔控制
分岔是指在系统参数发生微小变化的情况下,动力系统的解结构发生质的变化。FitzHugh-Nagumo (FHN)模型会出现分岔,许多疾病与神经系统的各种分岔密切相关。本文提出了一种用于调节分岔极限环振荡幅度的冲刷滤波辅助控制律。根据中心流形和范式理论推导出控制项。仿真结果表明了该控制器的有效性和灵活性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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