Stability analysis of delayed cellular neural networks
Neural Networks
Stability of Time-Delay Systems
Stability of Time-Delay Systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Exponential stability on stochastic neural networks with discrete interval and distributed delays
IEEE Transactions on Neural Networks
Improved asymptotic stability criteria for neural networks with interval time-varying delay
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
Exponential Stability of Uncertain Stochastic Neural Networks with Markovian Switching
Neural Processing Letters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new criterion for exponential stability of uncertain stochastic neural networks with mixed delays
Mathematical and Computer Modelling: An International Journal
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
Convergence Dynamics of Stochastic Cohen–Grossberg Neural Networks With Unbounded Distributed Delays
IEEE Transactions on Neural Networks
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This paper studies the globally robustly asymptotical stability in mean square of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. By constructing an augmented Lyapunov-Krasovskii functional, some delay-dependent criteria for the globally robustly asymptotical stability of such systems are formulated in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are provided to illustrate the effectiveness of the obtained results.