Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Global Robust Exponential Stability of Interval Neural Networks with Delays
Neural Processing Letters
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IEEE Transactions on Neural Networks
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
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
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
Improved robust stability criteria for delayed cellular neural networks via the LMI approach
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Neural Networks
Delay-derivative-dependent stability for delayed neural networks with unbound distributed delay
IEEE Transactions on Neural Networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Novel stability criteria of Cohen–Grossberg neural networks with time-varying delays
International Journal of Circuit Theory and Applications
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Robust exponential stability for interval Cohen-Grossberg neural networks with time varying delay has received increasing interest in recent years. In this paper, some new criteria are derived using linear matrix inequality, matrix norm and Halanay inequality techniques. Compared with the existing results, these new criteria are not conservative and are convenient to check. Three numerical examples are used to show the effectiveness of the obtained results.