Stability analysis of cellular neural networks with hysteresis nonlinearity in the feedback system

Angela Slavova · 2002

A new class of cellular neural networks is considered, where nonlinearity in the feedback system is hysteresis type. Stability analysis of the equilibrium points of this circuit is made using a new approach of dividing M/spl times/N Euclidean space into three different types of regions.

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