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Stability of Cohen-Grossberg neural networks with time-varying delays
Tingwen Huang1, Andrew Chan, Yu Huang
1Texas A&M University at Qatar, c/o Qatar Foundation, PO Box 5825, Doha, Qatar. tingwen.huang@qatar.tamu.edu
Abstract:
In this paper, we investigate the existence and stability of the equilibrium point of Cohen-Grossberg neural networks with time-varying delays. Under easily verified conditions, exponential stability is obtained when the delay is finite, while asymptotic stability is obtained when the delay is infinite. Moreover, the stability obtained is robust. The only condition for the delay term is continuity. The results obtained here improve and extend to those in the literature.
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