Global exponential convergence of delayed inertial Cohen–Grossberg neural networks
Yanqiu Wu,
Nina Dai,
Zhengwen Tu
et al.
Abstract:In this paper, the exponential convergence of delayed inertial Cohen–Grossberg neural networks (CGNNs) is studied. Two methods are adopted to discuss the inertial CGNNs, one is expressed as two first-order differential equations by selecting a variable substitution, and the other does not change the order of the system based on the nonreduced-order method. By establishing appropriate Lyapunov function and using inequality techniques, sufficient conditions are obtained to ensure that the discussed model converg… Show more
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