论文信息 - Convergence of reciprocal time-discrete cellular neural networks with continuous nonlinearities

Convergence of reciprocal time-discrete cellular neural networks with continuous nonlinearities

A proof for the convergence of reciprocal time-discrete cellular neural networks (CNNs) with continuous, monotone increasing nonlinearities is presented. The proof uses a Lyapunov function of the time-discrete cellular neural network.<<ETX>>

N. Fruehauf | L. O. Chua | E. Lueder

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