Robust stability for interval Hopfield neural networks with time delay

Authors:
Xiaofeng Liao;Jeubang Yu
Affiliations:
Dept. of Optoelectron. Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu;-
Venue:
IEEE Transactions on Neural Networks
Year:
1998

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Abstract

The conventional Hopfield neural network with time delay is intervalized to consider the bounded effect of deviation of network parameters and perturbations yielding a novel interval dynamic Hopfield neural network (IDHNN) model. A sufficient condition related to the existence of unique equilibrium point and its robust stability is derived