title: Global robust stability for shunting inhibitory CNNs with delays.
abstract: In this paper, the problem of global robust stability for shunting inhibitory cellular neural networks (SICNNs) is studied. A sufficient condition guaranteeing the network's global robust stability is established. The result can easily be used to verify globally robust stable networks. An example is given to illustrate that the conditions of our results are feasible.
authors.affiliation: Department of Applied Mathematics, Kunming University of Science and Technology, Kunming, Yunnan 650093, China. lingna6688@sina.com.cn
authors.forename: Lingna
authors.initials: L
authors.lastname: Wang
authors.forename: Yiping
authors.initials: Y
authors.lastname: Lin
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009433:Neural Inhibition / Q000502:physiology*; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors