4.1 Article

A generalized LMI-Based approach to the global asymptotic stability of delayed cellular neural networks

Journal

IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 15, Issue 1, Pages 223-225

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2003.820616

Keywords

delayed cellular neural networks (DCNNs); equilibrium analysis; global stability

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A novel linear matrix inequality (LMI)-based criterion for the global asymptotic stability and uniqueness of the equilibrium point of a class of delayed cellular neural networks (CNNs) is presented. The criterion turns out to be a generalization and improvement over some previous criteria.

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