Stability of Time-Delay Systems
Stability of Time-Delay Systems
A new criterion for global robust stability of interval delayed neural networks
Journal of Computational and Applied Mathematics
New globally asymptotic stability criteria for delayed cellular neural networks
IEEE Transactions on Circuits and Systems II: Express Briefs
New Lyapunov-Krasovskii functionals for global asymptotic stability of delayed neural networks
IEEE Transactions on Neural Networks
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
Exponential Stability Analysis for Neural Networks With Time-Varying Delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Global Asymptotic Stability of Delayed Cellular Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay
IEEE Transactions on Neural Networks
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
IEEE Transactions on Neural Networks
New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Leakage Delays in T---S Fuzzy Cellular Neural Networks
Neural Processing Letters
Universal analysis method for stability of recurrent neural networks with different multiple delays
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
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An augmented Lyapunov-Krasovskii functional (LKF) approach is presented to derive sufficient conditions for the existence, uniqueness, and globally exponential stability of the equilibrium point of a class of cellular neural networks with time-varying delays. By dividing the variation interval of the time delay into several subintervals with equal length, a novel vector LKF is introduced and new conditions are obtained based on the homeomorphism mapping principle, free-weighting matrix method, and linear matrix inequality techniques. Since the criteria are involving derivative information of both state and delay, the obtained results are less conservative than some previous ones. Two examples are also given to show the effectiveness of the presented criteria.