A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks.
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.
Singh
Vimal
V
D016014:Linear Models; D016571:Neural Networks, Computer