New Results on the Robust Stability of Cohen---Grossberg Neural Networks with Delays
Neural Processing Letters
Robust Stability in Cohen---Grossberg Neural Network with both Time-Varying and Distributed Delays
Neural Processing Letters
Computers & Mathematics with Applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 02
Delay-dependent exponential stability for a class of neural networks with time delays
Journal of Computational and Applied Mathematics
IEEE Transactions on Neural Networks
Stability analysis on a neutral neural network model
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
BAM-type Cohen-Grossberg neural networks with time delays
Mathematical and Computer Modelling: An International Journal
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
IEEE Transactions on Neural Networks
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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In this paper, we first discuss the existence of a unique equilibrium point of a generalized Cohen-Grossberg BAM neural networks of neutral type delays by means of the Homeomorphism theory and inequality technique. Then, by applying the existence result of an equilibrium point and constructing a Lyapunov functional, we study the global asymptotic stability of the equilibrium solution to the above Cohen-Grossberg BAM neural networks of neutral type. In our results, the hypothesis for boundedness in the existing paper, which discussed Cohen-Grossberg neural networks of neutral type on the activation functions, are removed. Finally, we give an example to demonstrate the validity of our global asymptotic stability result for the above neural networks.