Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously Dist

Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously

Distributed Delays

ZHANG Qiang; MA Run-Nian; XU Jin

【期刊名称】《《理论物理通讯（英文版）》》 【年(卷),期】2003(039)003

【摘要】A model of Hopfield neural networks with continuously distributed delays is considered. A new sufficient condition which guarantees global exponential stability of an equilibrium point is given based on Lyapunov functional approach and inequality technique. Compared with the previous results, our result provides a wider range since it possesses many adjustable parameters. 【总页数】4页(381-384)

【关键词】Hopfield neural networks; distributed delays; global exponential stability

【作者】ZHANG Qiang; MA Run-Nian; XU Jin

【作者单位】Institute of Electronic Engineering Xidian University Xi'an 710071 China; Institute of System Science Huazhong University of Science and Technology Wuhan 430074 China 【正文语种】中文 【中图分类】O4 【相关文献】

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