Dynamics of a class of discete-time neural networks and their comtinuous-time counterparts
Mathematics and Computers in Simulation
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
On global asymptotic stability of recurrent neural networks with time-varying delays
Applied Mathematics and Computation
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
Journal of Computational and Applied Mathematics
Dynamic of a non-autonomous predator-prey system with infinite delay and diffusion
Computers & Mathematics with Applications
Global Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Variable Delays
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Exponential p-stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays
Mathematics and Computers in Simulation
Expert Systems with Applications: An International Journal
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Finite Time Stability of Cohen-Grossberg Neural Network with Time-Varying Delays
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses
Computers & Mathematics with Applications
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Global exponential stability of Cohen-Grossberg neural network with time varying delays
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Delay-derivative-dependent stability for delayed neural networks with unbound distributed delay
IEEE Transactions on Neural Networks
International Journal of Systems, Control and Communications
Multistability of delayed neural networks with discontinuous activations
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Mathematics and Computers in Simulation
Global asymptotic stability for neural network models with distributed delays
Mathematical and Computer Modelling: An International Journal
Anti-periodic solutions for cohen-grossberg neural networks with varying-time delays and impulses
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
| Hi-index | 7.30 |
In this paper, the Cohen-Grossberg neural network model with both time-varying and continuously distributed delays is considered. Without assuming both global Lipschitz conditions on these activation functions and the differentiability on these time-varying delays, applying the idea of vector Lyapunov function, M-matrix theory and inequality technique, several new sufficient conditions are obtained to ensure the existence, uniqueness, and global exponential stability of equilibrium point for Cohen-Grossberg neural network with both time-varying and continuously distributed delays. These results generalize and improve the earlier publications. Two numerical examples are given to show the effectiveness of the obtained results. It is believed that these results are significant and useful for the design and applications of the Cohen-Grossberg neural networks.