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Global Asymptotic Stability of Delayed Cellular Neural Networks

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2 Author(s)
Huaguang Zhang ; Northeastern Univ., Liaoning ; Zhanshan Wang

A new criterion for the global asymptotic stability of the equilibrium point of cellular neural networks with multiple time delays is presented. The obtained result possesses the structure of a linear matrix inequality and can be solved efficiently using the recently developed interior-point algorithm. A numerical example is used to show the effectiveness of the obtained result

Published in:

Neural Networks, IEEE Transactions on  (Volume:18 ,  Issue: 3 )

Date of Publication:

May 2007

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