Su, Weiwei; Chen, Yiming New results on the robust stability analysis of neural networks with discrete and distributed time delays. (English) Zbl 1232.93073 J. Syst. Eng. Electron. 19, No. 3, 592-597 (2008). Summary: Delay-dependent robust stability of cellular neural networks with time-varying discrete and distributed time-varying delays is considered. Based on Lyapunov stability theory and the Linear Matrix Inequality (LMIs) technique, delay-dependent stability criteria are derived in terms of LMIs avoiding bounding certain cross terms, which often leads to conservatism. The effectiveness of the proposed stability criteria and the improvement over the existing results are illustrated in the numerical examples. Cited in 1 Document MSC: 93D09 Robust stability 93D05 Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory 92B20 Neural networks for/in biological studies, artificial life and related topics 93C41 Control/observation systems with incomplete information Keywords:neural networks; delay-dependent robust stability; Lyapunov stability theory; linear matrix inequality (LMI); distributed delay; norm-bounded uncertainties PDFBibTeX XMLCite \textit{W. Su} and \textit{Y. Chen}, J. Syst. Eng. Electron. 19, No. 3, 592--597 (2008; Zbl 1232.93073) Full Text: DOI