Almost periodic models of impulsive Hopfield neural networks

Stamov, Gani Tr.

J. Math. Kyoto Univ., Tome 49 (2009) no. 1, p. 57-67 / Harvested from Project Euclid

Résumé

In the present paper the problems of existence and uniqueness of almost periodic solutions for impulsive Hopfield neural networks are considered. The impulses are in fixed moments of time and by using the technique of estimation of the Cauchy’s matrix new sufficient conditions for the exponential stability of the unique almost periodic solution of such systems are given.

Publié le : 2009-05-15
Classification: 34C27, 34K45

@article{1248983029,
     author = {Stamov, Gani Tr.},
     title = {Almost periodic models of impulsive Hopfield neural networks},
     journal = {J. Math. Kyoto Univ.},
     volume = {49},
     number = {1},
     year = {2009},
     pages = { 57-67},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1248983029}
}

Stamov, Gani Tr. Almost periodic models of impulsive Hopfield neural networks. J. Math. Kyoto Univ., Tome 49 (2009) no. 1, pp.  57-67. http://gdmltest.u-ga.fr/item/1248983029/