Stability of cellular neural networks with time varying delay Online publication date: Thu, 01-Apr-2010
by Jian-hua Zhang, Hui-guang Li, Xin-ping Guan, Xue-li Wu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 9, No. 1/2, 2010
Abstract: In this paper, the global asymptotic stability of a class of delayed cellular neural networks is studied. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality (LMI). A numerical example is presented to illustrate the effectiveness of our theoretical results.
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