Article ID Journal Published Year Pages File Type
411220 Neurocomputing 2007 4 Pages PDF
Abstract

This letter considers the problem of asymptotic stability of Cohen–Grossberg neural networks with time-varying delays. The stability condition is given in terms of a linear matrix inequality (LMI). Comparison between our results and previous results admits that our results establish a new set of stability criteria for delayed Cohen–Grossberg neural networks.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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