Global Stability In Delayed Cellular Neural Networks

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Authors: Jinde Cao
Year: 1999   
DOI: 10.1109/NNSP.1999.788127
Citations: 6
EI: NO
Abstract:
the problem of global asymptotic stability of a class of delayed cellular neural networks \( dcnns \) is further addressed by means of the lyapunov functional method and the inequality a3 b3 c3 ges 3abc \( a , b , c ges 0 \) techniques , a set of criteria are found ensuring the global asymptotic stability of dcnns with more general output functions these criteria have important significance in signal processing , especially in moving image treatment
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