Sufficient and necessary condition for existence and uniqueness of equilibrium point of a class of cellular neural networks with delay
Liqun Zhou
Abstract
Liqun Zhou
Abstract
A class of cellular neural networks with delay is studied.For a class of extensive activity functions,a sufficient and necessary condition is derived for the existence and uniqueness of the equilibrium point by using the matrix theory.The condition is delay-dependent and easily verifiable.
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A class of cellular neural networks with delay is studied.For a class of extensive activity functions,a sufficient and necessary condition is derived for the existence and uniqueness of the equilibrium point by using the matrix theory.The condition is delay-dependent and easily verifiable.
Key concepts: Uniqueness, Class (philosophy), Verifiable secret sharing, Equilibrium point, Mathematics, Artificial neural network, Point (geometry), Applied mathematics