Journal
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
Volume 17, Issue 5, Pages 407-417Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S012906570700124X
Keywords
Cohen-Grossberg neural network; impulsive; unbounded time-varying delays; exponential stability
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In this paper, the impulsive Cohen-Grossberg neural network with unbounded discrete time-varying delays is considered. By using the analysis method and inequality technique, several sufficient conditions are obtained to ensure the global exponential stability of the addressed neural network. These results generalize the existing relevant stability results. Two examples with simulations are given to show the effectiveness of the obtained results.
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