Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 15, Issue 1, Pages 203-206Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2003.822974
Keywords
global exponential convergence; M-matrix; neural networks; stability; time delay
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In this letter, we discuss delayed Cohen-Grossberg neural network models and investigate their global exponential stability of the equilibrium point for the systems. A set of sufficient conditions ensuring robust global exponential convergence of the Cohen-Grossberg neural networks with time delays are given.
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