Global exponential stability and existence of anti-periodic solutions to impulsive Cohen-Grossberg neural networks on time scales
DOI:
https://doi.org/10.12775/TMNA.2015.018Słowa kluczowe
Anti-periodic solution, Cohen--Grossberg neuralnetworks, impulse, time scaleAbstrakt
By using the method of coincidence degree theory and Lyapunov functions, some new criteria are established for the existence and global exponential stability of anti-periodic solutions to impulsive Cohen-Grossberg neural networks on time scales. Our results are new even if the time scale $\mathbb{T}=\mathbb{R}$ or $\mathbb{Z}$. Finally, an example is given to illustrate our results.Pobrania
Opublikowane
2015-06-01
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1.
ZHANG, Tianwei & LI, Yongkun. Global exponential stability and existence of anti-periodic solutions to impulsive Cohen-Grossberg neural networks on time scales. Topological Methods in Nonlinear Analysis [online]. 1 czerwiec 2015, T. 45, nr 2, s. 363–384. [udostępniono 22.7.2024]. DOI 10.12775/TMNA.2015.018.
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