Vimal Singh
Abstract
A criterion for the global asymptotic stability and uniqueness of the equilibrium point of cellular neural networks with unequal delays is presented. The criterion is computationally efficient, since it is in the form of linear matrix inequality (LMI).
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A criterion for the global asymptotic stability and uniqueness of the equilibrium point of cellular neural networks with unequal delays is presented. The criterion is computationally efficient, since it is in the form of linear matrix inequality (LMI).
Key concepts: Exponential stability, Uniqueness, Linear matrix inequality, Equilibrium point, Mathematics, Stability (learning theory), Applied mathematics, Cellular neural network