Convergent activation dynamics in continuous time networks
Neural Networks
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Global convergence rate of recurrently connected neural networks
Neural Computation
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Stability of asymmetric Hopfield networks
IEEE Transactions on Neural Networks
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
An analog implementation of discrete-time cellular neural networks
IEEE Transactions on Neural Networks
Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks
Neural Processing Letters
Computers & Mathematics with Applications
Robust Stability Criterion for Delayed Neural Networks with Discontinuous Activation Functions
Neural Processing Letters
Anti-periodic solutions for a class of Cohen-Grossberg neural networks
Computers & Mathematics with Applications
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Information Sciences: an International Journal
Almost sure exponential stability of recurrent neural networks with Markovian switching
IEEE Transactions on Neural Networks
Subgradient-based neural networks for nonsmooth nonconvex optimization problems
IEEE Transactions on Neural Networks
Asymptotic behavior of periodic Cohen-Grossberg neural networks with delays
Neural Computation
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Expert Systems with Applications: An International Journal
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Multistability of delayed neural networks with discontinuous activations
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Quasi-synchronization of delayed coupled networks with non-identical discontinuous nodes
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
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In this paper, we discuss dynamics of Cohen-Grossberg neural networks with discontinuous activations functions. We provide a relax set of sufficient conditions based on the concept of Lyapunov diagonally stability (LDS) for Cohen-Grossberg networks to be absolutely stable. Moreover, under certain conditions we prove that the system is exponentially stable globally or convergent globally in finite time. Convergence rate for global exponential convergence and convergence time for global convergence in finite time are also provided.