Stability analysis of delayed cellular neural networks
Neural Networks
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Global Robust Exponential Stability of Interval Neural Networks with Delays
Neural Processing Letters
On Robust Exponential Periodicity of Interval Neural Networks with Delays
Neural Processing Letters
Robust stability for interval Hopfield neural networks with time delay
IEEE Transactions on Neural Networks
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
Robust Stability in Cohen---Grossberg Neural Network with both Time-Varying and Distributed Delays
Neural Processing Letters
Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks
Neural Processing Letters
Hi-index | 0.00 |
In this letter, a generalized type of Cohen---Grossberg neural networks with time delays are discussed and their global robust stability of the equilibrium point is investigated. By introducing a set of Lyapunov functionals, several new sufficient conditions guaranteeing the global robust convergence are derived. The results show that the amplification function a i (x) is harmless to the robust stability of Cohen---Grossberg neural networks. Two examples are given to demonstrate the applicability of the proposed results.