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Existence and stability of anti-periodic solutions for impulsive fuzzy Cohen-Grossberge neural networks on time scales

In: Mathematica Slovaca, vol. 64, no. 1
Qianhong Zhang - Lihui Yang - Jingzhong Liu
Detaily:
Rok, strany: 2014, 119 - 138
Kľúčové slová:
anti-periodic solutions, fuzzy Cohen-Grossberge neural networks, coincidence degree, impulses, time scales
O článku:
By applying the method of coincidence degree and constructing suitable Lyapunov functional, some sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for a kind of impulsive fuzzy Cohen-Grossberg neural networks on time scales. Moreover an example is given to illustrate our results.
Ako citovať:
ISO 690:
Zhang, Q., Yang, L., Liu, J. 2014. Existence and stability of anti-periodic solutions for impulsive fuzzy Cohen-Grossberge neural networks on time scales. In Mathematica Slovaca, vol. 64, no.1, pp. 119-138. 0139-9918. DOI: https://doi.org/10.2478/s12175-013-0191-5

APA:
Zhang, Q., Yang, L., Liu, J. (2014). Existence and stability of anti-periodic solutions for impulsive fuzzy Cohen-Grossberge neural networks on time scales. Mathematica Slovaca, 64(1), 119-138. 0139-9918. DOI: https://doi.org/10.2478/s12175-013-0191-5
O vydaní: