Global stability for discrete Cohen–Grossberg neural networks with finite and infinite delays

Graph theory Applied Mathematics Cohen–Grossberg neural networks 0202 electrical engineering, electronic engineering, information engineering 02 engineering and technology Stability
DOI: 10.1016/j.aml.2012.06.011 Publication Date: 2012-06-19T00:46:09Z
ABSTRACT
AbstractIn this paper, the global stability problem for a general discrete Cohen–Grossberg neural network with finite and infinite delays is investigated. A simple criterion ensuring the global asymptotical stability is established, by applying the Lyapunov method and graph theory. Finally, an example showing the effectiveness of the provided criterion is given.
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