Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays

• Autorzy: Zhang Q. , Yang L. , Liao D.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fuzzy cellular neural networks; global exponential stability; periodic solution; coincidence degree

PL

sieć neuronowa; stateczność wykładnicza; rozwiązanie okresowe

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2011
• Tom: Vol. 21, no 4
• Strony: 649--658
• Opis fizyczny: Bibliogr. 27 poz.

Twórcy

autor

Zhang Q.

autor

Yang L.

autor

Liao D.

• Guizhou Key Laboratory of Economic Systems Simulation, School of Mathematics and Statistics, Guizhou College of Finance and Economics, Guiyang, Guizhou 550004, PR China,

Bibliografia

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