Existence and global exponenetial stability of periodic solution of high-order Cohen-Grossberg neural network with impulses

• Autorzy: Liu J.
• Języki publikacji: EN

Abstrakty

EN

Sufficient conditions are obtained for the existence and global exponential stability of periodic solution of high-order Cohen-Grossberg neural network with impulses by using Mawhin's continuation theorem of coincidence degree and by means of a method based differential inequality.

Słowa kluczowe

EN

periodic solution; Cohen-Grossberg neural network

PL

rozwiązania okresowe; sieci neuronowe Cohena-Grossberga

• Wydawca: De Gruyter
• Czasopismo: Demonstratio Mathematica
• Rocznik: 2009
• Tom: Vol. 42, nr 2
• Strony: 323--338
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Liu J.

• Department of Mathematics Binzhou University Shandong 256603, P.R. China,

Bibliografia

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• [6] Y. K. Li, Z. Y. Xing, L. H. Lu, Existence and global exponential stability of periodic solution of a class of neural networks with impulses, Chaos, Solitons and Fractals 27 (2006), 437-445.
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• [10] R. E. Gains, J. L. Mawhin, Coincidence Degree and Nonlinear Differential Equations, Springer Verlag, Berlin 1977.
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