Geodesic
Almost sure exponential stability of delayed cellular neural networks
Electronic Journal of Differential Equations, Tome 2007 (2007).

Voir la notice de l'article provenant de la source Electronic Library of Mathematics

Summary: The stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure exponential stability of the DCNN.
Classification : 34K50, 60H10
Keywords: stochastic, cellular neural networks, almost sure exponential stability, Lyapunov functional 
@article{EJDE_2007__2007__a157,
     author = {Huang, Chuangxia and He, Yigang and Huang, Lihong},
     title = {Almost sure exponential stability of delayed cellular neural networks},
     journal = {Electronic Journal of Differential Equations},
     publisher = {mathdoc},
     volume = {2007},
     year = {2007},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/EJDE_2007__2007__a157/}
}
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Huang, Chuangxia; He, Yigang; Huang, Lihong. Almost sure exponential stability of delayed cellular neural networks. Electronic Journal of Differential Equations, Tome 2007 (2007). http://geodesic.mathdoc.fr/item/EJDE_2007__2007__a157/