ARCHITECTURE AND STABILITY OF THE SECOND–ORDER CELLULAR NEURAL NETWORKS
In this paper, we study and propose i) Second-order Cellular Neural Networks (SOCNN) architecture based on standard CNN proposed by Leon. O. Chua with the 2nd-order polynomial inputs and bounded parameter assumptions. ii) The conditions for the existence and stability of the solutions of CNN are presented by choosing appropriate Lyapunov function. iii) Simulation and computing results by the simple example are perfomed on the Matlab (2014) Simulink.
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