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Chaotic synchronization of time-delay coupled Hindmarsh-Rose neurons via nonlinear control

机译:非线性控制的时滞耦合Hindmarsh-Rose神经元的混沌同步

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摘要

Chaotic synchronization of two time-delay coupled Hindmarsh-Rose neurons via nonlinear control is investigated in this paper. Both the intrinsic slow current delay in a single Hindmarsh-Rose neuron and the coupling delay between the two neurons are considered. When there is no control, chaotic synchronization occurs for a limited range of the coupling strength and the time-delay values. To obtain complete chaotic synchronization irrespective of the time-delay or the coupling strength, we propose two nonlinear control schemes. The first uses adaptive control for chaotic synchronization of two electrically coupled delayed Hindmarsh-Rose neuron models. The second derives the sufficient conditions to ensure a complete synchronization between master and slave models through appropriate Lyapunov-Krasovskii functionals and the linear matrix inequality technique. Numerical simulations are carried out to show the effectiveness of the proposed methods.
机译:本文研究了两个时滞耦合的Hindmarsh-Rose神经元通过非线性控制的混沌同步。单个Hindmarsh-Rose神经元的固有慢电流延迟和两个神经元之间的耦合延迟都被考虑了。如果没有控制,则在有限的耦合强度和时延值范围内发生混沌同步。为了获得完全的混沌同步,而不考虑时间延迟或耦合强度,我们提出了两种非线性控制方案。第一种使用自适应控制来对两个电耦合的延迟欣德马什-罗斯神经元模型进行混沌同步。第二个通过适当的Lyapunov-Krasovskii函数和线性矩阵不等式技术推导了足够的条件,以确保主模型和从模型之间的完全同步。数值模拟表明了所提出方法的有效性。

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