Stability of Time-Delay Systems
Stability of Time-Delay Systems
Passivity analysis of neural networks with time-varying delays
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Global exponential stability of impulsive neural networks with variable delay: an LMI approach
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Stability analysis of Cohen-Grossberg neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
IEEE Transactions on Neural Networks
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay
IEEE Transactions on Neural Networks
Stability Analysis for Neural Networks With Time-Varying Interval Delay
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
Improved Delay-Dependent Asymptotic Stability Criteria for Delayed Neural Networks
IEEE Transactions on Neural Networks
New passivity analysis for neural networks with discrete and distributed delays
IEEE Transactions on Neural Networks
pth Moment Exponential Stability of Stochastic Recurrent Neural Networks with Markovian Switching
Neural Processing Letters
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This brief investigates the problem of mean square exponential stability of uncertain stochastic delayed neural networks (DNNs) with time-varying delay. A novel Lyapunov functional is introduced with the idea of the discretized Lyapunov-Krasovskii functional (LKF) method. Then, a new delay-dependent mean square exponential stability criterion is derived by applying the free-weighting matrix technique and by equivalently eliminating time-varying delay through the idea of convex combination. Numerical examples illustrate the effectiveness of the proposed method and the improvement over some existing methods.