Bound estimation for solutions of a class of delay differential inequalities
Nonlinear Analysis: Theory, Methods & Applications
Global stability of cellular neural networks with constant and variable delays
Nonlinear Analysis: Theory, Methods & Applications
On global asymptotic stability of recurrent neural networks with time-varying delays
Applied Mathematics and Computation
Global Asymptotic Stability Analysis of Neural Networks with Time-Varying Delays
Neural Processing Letters
Theoretical Computer Science
Delay-dependent exponential estimates of stochastic neural networks with time delay
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
A new criterion for exponential stability of uncertain stochastic neural networks with mixed delays
Mathematical and Computer Modelling: An International Journal
LMI-based stability analysis of impulsive high-order Hopfield-type neural networks
Mathematics and Computers in Simulation
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By using the usual additive neural-network model, a delay-independent stability criterion for neural dynamics with perturbations of time-varying delays is derived. We extend previously known results obtained by Gopalsamy and He (1994) to the time varying delay case, and present decay estimates of solutions of neural networks. The asymptotic stability is global in the state space of neuronal activations. From the techniques used in this paper, it is shown that our criterion ensures stability of neural dynamics even when the delay functions vary violently with time. Our approach provides an effective method for the stability analysis of neural dynamics with delays