New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Journal of Computational and Applied Mathematics
Impulsive effects on stability of Cohen-Grossberg neural networks with variable delays
Applied Mathematics and Computation
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
Stability analysis of bidirectional associative memory networks with time delays
IEEE Transactions on Neural Networks
Stability analysis of Cohen-Grossberg neural networks
IEEE Transactions on Neural Networks
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In the present paper, a nonlinear non-autonomous predator-prey dispersion model with continuous delay is studied. Sufficient conditions which guarantee the existence of a periodic positive solution are obtained by using Gaines and Mawhin's continuation theorem of coincidence degree theory. Moreover, globally asymptotically stability of the system is also obtained by means of a suitable Lyapunov functional. The applications show that these criteria are easily verified.