Abstract
Robust stability analysis of a class of Cohen-Grossberg neural networks with multiple delays is given. An approach combining the Lyapunov functional with the linear matrix inequality (LMI) is taken to obtain the sufficient condition for the globally robust stability of equilibrium point. The result is established without assuming the differentiability and monotonicity of activation functions. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Ji, C., Zhang, H. G., & Song, C. H. (2006). LMI approach to robust stability analysis of Cohen-Grossberg neural networks with multiple delays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 198–203). Springer Verlag. https://doi.org/10.1007/11759966_30
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