Improved Conditions for Global Asymptotic Stability of Cohen--Grossberg  Neural Networks with Time-Varying Delays

College of Communication and Control Engineering, Jiangnan University, Wuxi 214122

Received Date: August 26, 2008

Published Date: October 31, 2008

Abstract

The global asymptotic stability of delayed Cohen--Grossberg neural networks with impulses is investigated. Based on the new suitable Lyapunov functions and the Jacobsthal inequality, a set of novel sufficient criteria are derived for the global asymptotic stability of Cohen--Grossberg neural networks with time-varying delays and impulses. An illustrative example with its numerical simulations is given to demonstrate the effectiveness of the obtained results.

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