Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays
Qianhong Zhang ; Lihui Yang ; Daixi Liao
International Journal of Applied Mathematics and Computer Science, Tome 21 (2011), p. 649-658 / Harvested from The Polish Digital Mathematics Library

Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic control. Finally, an example is given to show the feasibility and effectiveness of our methods.

Publié le : 2011-01-01
EUDML-ID : urn:eudml:doc:208077
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     author = {Qianhong Zhang and Lihui Yang and Daixi Liao},
     title = {Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays},
     journal = {International Journal of Applied Mathematics and Computer Science},
     volume = {21},
     year = {2011},
     pages = {649-658},
     zbl = {1283.93239},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv21i4p649bwm}
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Qianhong Zhang; Lihui Yang; Daixi Liao. Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays. International Journal of Applied Mathematics and Computer Science, Tome 21 (2011) pp. 649-658. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv21i4p649bwm/

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