A multistage reduction technique for feedback stabilizing distributed time-lag systems
Automatica (Journal of IFAC)
Global stability of neural networks with distributed delays
Neural Networks
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Global exponential stability of delayed Hopfield neural networks
Neural Networks
Stability analyses of cellular neural networks with continuous time delay
Journal of Computational and Applied Mathematics
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
A delay-dependent approach to robust H∞ filtering for uncertain distributed delay systems
IEEE Transactions on Signal Processing - Part I
Time-delay systems: an overview of some recent advances and open problems
Automatica (Journal of IFAC)
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
Global exponential convergence of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
Stability analysis of Cohen-Grossberg neural networks
IEEE Transactions on Neural Networks
On stability of recurrent neural networks-an approach from volterra integro-differential equations
IEEE Transactions on Neural Networks
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This paper is concerned with the Global Asymptotic Stability (GAS) of a general class of Cohen-Grossberg neural networks with both multiple time varying delays and distributed delays. Criteria are established to ensure the GAS of the concerned neural networks, which can be expressed in the form of Linear Matrix Inequality and independent of amplification functions. Furthermore, a sufficient condition guaranteeing the global robust stability is established for the general class of Cohen-Grossberg neural networks with both multiple time varying delays and distributed delays in the case of parameter uncertainties.