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混合时滞与非线性控制输入神经网络同步分析

Synchronization of a Class of Neural Networks Containing Hybrid Delays and Sector Nonlinearity
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摘要 研究了一类具有时变时滞与无穷分布时滞、控制输入具扇形非线性性(sector nonlin-earity in the control input)的神经网络的全局渐近同步问题,基于驱动-响应方法和Lyapunov理论,适当设计一个失忆扩散的输入控制律,给出了驱动系统与响应系统同步的充分条件。 In this paper, the global synchronization of a class of delayed neural networks with time-var- ying and distributed delays are discussed. Based on drive-response concept and Lyapunov stability theorem, some sufficient conditions are achieved to guarantee the global asymptotic synchronization of such a system, in which the response system contains external disturbance and sector nonlinearity. The proposed controller is easily implemented.
作者 黄优良
机构地区 韶关学院数学系
出处 《贵州大学学报(自然科学版)》 2007年第4期352-356,共5页 Journal of Guizhou University:Natural Sciences
基金 江苏省教育厅自然科学基金(06KJD110206) 扬州大学科技创新培育基金(2006CXJ002)资助项目
关键词 同步 细胞神经网络 时变时滞 分布时滞 LYAPUNOV方法 synchronization cellular neural networks distribute delay Lyapunov method.
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参考文献18

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