Controlling chaos in a chaotic neutron

Xiaolin Ren, Guangrui Hu, Z. Tan
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Abstract

In this paper, the problem of controlling chaos in a chaotic neuron is investigated. Specially, a simpler pulse feedback method is introduced, in which constant pulses are used to control chaos. The authors call this method the constant pulse feedback (CPF) method. The CPF method does not require any a priori knowledge of the dynamics of the system, such as the stable fixed points or unstable periodic orbits. The stability analysis is employed to study the nature of controlling chaos of the CPF method, and then the method is applied to control chaos in a neuron when it is in chaotic state. Both theoretical and numerical results show CPF method can stabilize the neuron state on desired fixed points or periodic orbits efficiently.
控制混沌中子中的混沌
本文研究了混沌神经元的混沌控制问题。特别地,介绍了一种更简单的脉冲反馈方法,即用恒定脉冲控制混沌。作者称这种方法为恒定脉冲反馈(CPF)方法。CPF方法不需要任何系统动力学的先验知识,例如稳定不动点或不稳定周期轨道。通过稳定性分析研究了CPF方法控制混沌的性质,并将该方法应用于神经元处于混沌状态时的混沌控制。理论和数值结果表明,CPF方法可以有效地将神经元状态稳定在期望的不动点或周期轨道上。
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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