Topics in matrix analysis
Global Robust Exponential Stability of Interval Neural Networks with Delays
Neural Processing Letters
New results for robust stability of dynamical neural networks with discrete time delays
Expert Systems with Applications: An International Journal
Robust stability for interval Hopfield neural networks with time delay
IEEE Transactions on Neural Networks
Mean square exponential stability of hybrid neural networks with uncertain switching probabilities
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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In this paper, by using Lyapunov stability theorems, we present a new sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for delayed neural networks. This condition basically establishes a relationship between the network parameters of the neural system. The obtained condition can be easily verified as it is in terms of the network parameters only. Some illustrative numerical examples are also given to compare our result with the previous robust stability results derived in the literature.