Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks
Neural Processing Letters
A new criterion for global robust stability of interval delayed neural networks
Journal of Computational and Applied Mathematics
A New LMI-Based Stability Criteria for Delayed Cellular Neural Networks
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Further Stability Analysis for Neural Networks with Time-Varying Interval Delay
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Almost sure exponential stability of recurrent neural networks with Markovian switching
IEEE Transactions on Neural Networks
Stability analysis of discrete-time recurrent neural networks with stochastic delay
IEEE Transactions on Neural Networks
Global asymptotically robust stability of cellular neural networks with time-varying delay
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Exponential stability of delayed Cellular Neural Networks with large impulses
International Journal of Systems, Control and Communications
IEEE Transactions on Neural Networks
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A new Lyapunov-Krasovskii functional is constructed for delayed cellular neural networks, and the S-procedure is employed to handle the nonlinearities. An improved global asymptotic stability criterion is also derived that is a generalization of, and an improvement over, previous results. Numerical examples demonstrate the effectiveness of the criterion.