Song, Qiankun; Cao, Jinde Global robust stability of interval neural networks with multiple time-varying delays. (English) Zbl 1119.34054 Math. Comput. Simul. 74, No. 1, 38-46 (2007). Interval neural networks with multiple time-varying delays are studied. Global robust stability of such networks is proved by means of Lyapunov-Razumikhin technique and matrix inequality analysis. New sufficient conditions for the existence and uniqueness of an equilibrium point are provided by the authors. One example is given as well. Reviewer: Angela Slavova (Sofia) Cited in 15 Documents MSC: 34K20 Stability theory of functional-differential equations 92B20 Neural networks for/in biological studies, artificial life and related topics 93D09 Robust stability Keywords:interval neural networks; global robust stability; multiple time-varying delays; Lyapunov-Razumikhin technique PDFBibTeX XMLCite \textit{Q. Song} and \textit{J. Cao}, Math. Comput. 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