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

Authors:
V. Singh
Affiliations:
Dept. of Electr.- Electron. Eng., Atilim Univ., Ankara, Turkey
Venue:
IEEE Transactions on Neural Networks
Year:
2004

Citing 0
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Abstract

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.