Teh‐Lu Liao, Feisha Wang
Abstract
A new sufficient condition related to the existence of a unique equilibrium point and its global asymptotic stability for cellular neural networks with delay (DCNNs) is derived. This condition is less restrictive than that given in the literature.
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A new sufficient condition related to the existence of a unique equilibrium point and its global asymptotic stability for cellular neural networks with delay (DCNNs) is derived. This condition is less restrictive than that given in the literature.
Key concepts: Cellular neural network, Exponential stability, Stability (learning theory), Equilibrium point, Artificial neural network, Computer science, Mathematics, Point (geometry)