Improved results on exponential stability criteria for neutral neural network

Dynamical behavior of neutral neural networks with distributed delays is studied by employing suitable Lyapunov functional, 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...

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Bibliographic Details
Main Authors: Zhao Zhe, Zhen Ran, Wei Shaoqing, Wang Yuehua
Format: Conference Proceeding
Language:English
Subjects:
Asymptotic stability
Cellular neural networks
Delay
distributed delay
Linear matrix inequalities
Neutral neural networks
stability
Stability criteria
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Summary:Dynamical behavior of neutral neural networks with distributed delays is studied by employing suitable Lyapunov functional, 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.
DOI:10.1109/WCICA.2012.6358186