Title of article
Global asymptotic stability of high-order Hopfield type neural networks with time delays
Author/Authors
Bingji Xu، نويسنده , , Xinzhi Liu، نويسنده , , Yi Shen and Xiaoxin Liao، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2003
Pages
9
From page
1729
To page
1737
Abstract
This paper studies the problem of global asymptotic stability of a class of high-order Hopfield type neural networks with time delays. By utilizing Lyapunov functionals, we obtain some sufficient conditions for the global asymptotic stability of the equilibrium point of such neural networks in terms of linear matrix inequality (LMI). Numerical examples are given to illustrate the advantages of our approach.
Keywords
High-order Hopfield type neural networks , Time delay , Global asymptotic stability
Journal title
Computers and Mathematics with Applications
Serial Year
2003
Journal title
Computers and Mathematics with Applications
Record number
919810
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