New results concerning the exponential stability of delayed neural networks with impulses

New results concerning the exponential stability of delayed neural networks with impulses

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Article ID: iaor20119549
Volume: 62
Issue: 7
Start Page Number: 2719
End Page Number: 2726
Publication Date: Oct 2011
Journal: Computers and Mathematics with Applications
Authors:
Keywords: matrices
Abstract:

Employing the matrix measure approach and Lyapunov function, the author studies the global exponential stability of delayed neural networks with impulses in this paper. Some novel and sufficient conditions are given to guarantee the global exponential stability of the equilibrium point for such delayed neural networks with impulses. Finally, three examples are given to show the effectiveness of the results obtained here.

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