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On global asymptotic stability criteria for cellular neural networks with discrete and distributed time-varying delays

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3 Author(s)
Bin Huang ; Institute of Nonlinear and Complex System, China Three Gorges University, Yichang, Hubei 443002, China ; Minghui Jiang ; Ting Zhang

In this paper, the global asymptotic stability for a class of uncertain delayed cellular neural networks with discrete and distributed time-varying delays (DCNNs) is considered. Based on the Lyapunov functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach, a new criterion is derived to guarantee global asymptotic stability. A numerical example is illustrated to show the effectiveness of our results.

Published in:

Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on

Date of Conference:

25-27 Aug. 2010