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Apr.  2017
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LI Hong, LüShu, ZHONG Shou-ming. Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay[J]. Journal of Electronic Science and Technology, 2005, 3(2): 126-129.
Citation: LI Hong, LüShu, ZHONG Shou-ming. Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay[J]. Journal of Electronic Science and Technology, 2005, 3(2): 126-129.

Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay

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  • Author Bio:

    LI Hong interests include: robust stability and control and neural networks.

  • Received Date: 2004-05-02
  • Publish Date: 2005-06-25

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay

  • Author Bio:

Abstract: The global uniform asymptotic stability of competitive neural networks with different time scales and delay is investigated. By the method of variation of parameters and the method of inequality analysis, the condition for global uniformly asymptotically stable are given. A strict Lyapunov function for the flow of a competitive neural system with different time scales and delay is presented. Based on the function, the global uniform asymptotic stability of the equilibrium point can be proved.

LI Hong, LüShu, ZHONG Shou-ming. Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay[J]. Journal of Electronic Science and Technology, 2005, 3(2): 126-129.
Citation: LI Hong, LüShu, ZHONG Shou-ming. Global Uniform Asymptotic Stability of Competitive Neural Networks with Different-Time Scales and Delay[J]. Journal of Electronic Science and Technology, 2005, 3(2): 126-129.

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