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2013 | 23 | 1 | 201-211
Tytuł artykułu

Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is devoted to studying the globally exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. In the process of impulsive effect, nonlinear and delayed factors are simultaneously considered. A new impulsive differential inequality is derived based on the Lyapunov-Razumikhin method and some novel stability criteria are then given. These conditions, ensuring the global exponential stability, are simpler and less conservative than some of the previous results. Finally, two numerical examples are given to illustrate the advantages of the obtained results.
Rocznik
Tom
23
Numer
1
Strony
201-211
Opis fizyczny
Daty
wydano
2013
otrzymano
2011-12-31
poprawiono
2012-05-09
Twórcy
autor
  • College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
  • College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
autor
  • Department of Mathematics, Southeast University, Nanjing 210096, China
autor
  • College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
  • Academic Affairs Division, Zhejiang Normal University, Jinhua 321004, China
autor
  • College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv23z1p201bwm
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