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混沌时滞随机神经网络同步控制 被引量：2

Synchronization control of chaotic and stochastic neural networks with time delay
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摘要 研究了一类混沌时滞随机神经网络同步控制问题.采用更具一般性的时滞反馈控制器,通过巧妙地构造Lyapunov函数,分别得到了均方指数同步和均方渐近同步两个判别准则.仿真例子表明,新准则是有效的. The synchronization control problem of a class of chaotic and stochastic neural networks with time delay is investigated. Via constructing appropriate Lyapunov functionals, two decision criteria ensuring exponential stability and asymptotic stability are obtained, respectively. The delayed feedback controller used in this letter is more general than those used in previous literatures. Simulation example shows that the results obtained in this paper are valid.
作者 刘自鑫 吕恕 钟守铭
机构地区 电子科技大学应用数学学院 贵州财经学院数学与统计学院
出处 《纯粹数学与应用数学》 CSCD 2010年第1期151-157,共7页 Pure and Applied Mathematics
基金 国家重点基础研究发展计划(973)(2010CB732501) 国家自然科学基金(10961008)
关键词 同步控制 随机 混沌 神经网络 synchronization control, stochastic, chaos, neural network
分类号 O175.13 [理学—基础数学]
  • 相关文献

参考文献12

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同被引文献23

  • 1王建根,赵怡.时滞输出反馈非恒同主从耦合混沌系统一致同步的判据[J].控制理论与应用,2005,22(4):543-546. 被引量：1
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纯粹数学与应用数学
2010年 第1期

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