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Exponential synchronization of memristor-based recurrent neural networks with time delays

机译:具有忆阻器的忆阻器递归神经网络的指数同步

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摘要

In this paper, the synchronization control of a general class of memristor-based recurrent neural networks with time delays is investigated. A delay-dependent feedback controller is derived to achieve the exponential synchronization based on the drive-response concept, linear matrix inequalities (LMIs) and Lyapunov functional method. Finally, a numerical example is given to illustrate the derived theoretical results.
机译:在本文中,研究了基于一般忆阻器的时滞递归神经网络的同步控制。基于驱动响应概念,线性矩阵不等式(LMI)和Lyapunov函数方法,导出了依赖于延迟的反馈控制器以实现指数同步。最后,给出一个数值例子来说明推导的理论结果。

著录项

  • 来源
    《Neurocomputing》 |2011年第17期|p.3043-3050|共8页
  • 作者单位

    Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China;

    Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China;

    School of Basic Science, East China Jiaotong University, Nanchang 330013, China;

    School of Basic Science, East China Jiaotong University, Nanchang 330013, China;

  • 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

    memristor; circuit analysis; recurrent neural networks; synchronization control;

    机译:忆阻器电路分析;递归神经网络同步控制;
  • 入库时间 2022-08-18 02:08:18

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