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Synchronization of Ghostburster neurons under external electrical stimulation via adaptive neural network H∞control

机译:自适应神经网络H∞控制在外部电刺激下的Ghostburster神经元同步

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摘要

In this paper, an adaptive neural network H_∞ control is proposed to realize the synchronization of two Ghostburster neurons under external electrical stimulation. We first analyze the periodic and chaotic dynamics of individual Ghostburster neuron under different external electrical stimulations, then design a H_∞ controller via adaptive neural networks to synchronize two Ghostburster neurons and drive the slave neuron to act as the master one. Asymptotic synchronization can be obtained by proper choice of the control parameters. Simulation results demonstrate the effectiveness of the proposed control method.
机译:本文提出了一种自适应神经网络H_∞控制,以在外部电刺激下实现两个Ghostburster神经元的同步。我们首先分析了单个Ghostburster神经元在不同外部电刺激下的周期性和混沌动力学,然后通过自适应神经网络设计H_∞控制器来同步两个Ghostburster神经元并驱动从属神经元充当主神经元。通过适当选择控制参数可以获得渐近同步。仿真结果证明了该控制方法的有效性。

著录项

  • 来源
    《Neurocomputing》 |2010年第3期|p.230-238|共9页
  • 作者单位

    Automation and Electrical Engineering College, Tianjin University of Technology and Education, Tianjin 3002222, PR China;

    Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;

    Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;

    Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    synchronization; ghostburster; H_∞ control; neural networks;

    机译:同步鬼怪H_∞控制;神经网络;
  • 入库时间 2022-08-18 02:08:26

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