Stability Criteria with Less Variables for Neural Networks with Time-Varying Delay
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Stabilisation of Cellular Neural Networks with time-varying delays and reaction-diffusion terms
International Journal of Intelligent Systems Technologies and Applications
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Passivity Analysis of Neural Networks with Time-Varying Delays of Neutral Type
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
IEEE Transactions on Circuits and Systems II: Express Briefs
Delay-dependent globally exponential stability criteria for static neural networks: an LMI approach
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
New Lyapunov-Krasovskii functionals for global asymptotic stability of delayed neural networks
IEEE Transactions on Neural Networks
A delayed projection neural network for solving linear variational inequalities
IEEE Transactions on Neural Networks
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
An augmented LKF approach involving derivative information of both state and delay
IEEE Transactions on Neural Networks
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
International Journal of Innovative Computing and Applications
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A new criterion for the global asymptotic stability of the equilibrium point of cellular neural networks with multiple time delays is presented. The obtained result possesses the structure of a linear matrix inequality and can be solved efficiently using the recently developed interior-point algorithm. A numerical example is used to show the effectiveness of the obtained result