The stability analysis of neutral neural network systems with distributed delays

Author

Wu Xueli ; Li Yang ; An Hui ; Wang Yuehua

Author_Institution

Eng. Inst. Electr. Eng., Yanshan Univ., Qinhuangdao, China

fYear

2012

fDate

6-8 July 2012

Firstpage

1876

Lastpage

1880

Abstract

Dynamical behavior of neutral neural networks with distributed delays is studied by employing suitable Lyapunov functionals, delay-dependent criteria to ensure local and global asymptotic stability of the equilibrium of the neural networks. Our results are applied to classical neutral neural networks with time delay and some novel asymptotic stability criteria are also derived. The obtained conditions are shown to be less conservative and restrictive than those reported in the known literature.

Keywords

Lyapunov methods; asymptotic stability; delays; neurocontrollers; stability criteria; asymptotic stability criteria; classical neutral neural networks; delay-dependent criteria; distributed delays; dynamical behavior; global asymptotic stability; local asymptotic stability; neutral neural network systems; stability analysis; suitable Lyapunov functionals; time delay; Asymptotic stability; Control systems; Delay; Mathematical model; Neural networks; Stability criteria; Neutral neural networks; distributed delay; stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6358182

Filename

6358182