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
AUTHORS (4)
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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