Title of article
New Sufficient Condition of Discrete-Time Systems of Neural Networks
Author/Authors
Manlika Tanusit، نويسنده , , Kreangkri Ratchagit، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
3
From page
113
To page
115
Abstract
Problem statement: In this study, we derive a new sufficient condition for asymptotic stability of the zero solution of delay-differential system of neural networks in terms of certain matrix inequalities by using a discrete analog of the new Lyapunov second method. Conclusion/Recommendations: The problem is solved by applying a novel Lyapunov functional and an improved delay-dependent stability criterion is obtained in terms of a linear matrix inequality.
Keywords
asymptotic stability , Neural networks , delay-differential system , Lyapunov function , Matrix inequalities , discrete-time systems
Journal title
American Journal of Applied Sciences
Serial Year
2011
Journal title
American Journal of Applied Sciences
Record number
687825
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