New Results on Convergence of CNNs with Neutral Type Proportional Delays and D Operator

摘要

Based on differential inequality technique, we show that all solutions of a class of cellular neural networks with neutral type proportional delays and D operator converge exponentially to zero vector. In particular, we obtain the convergence rate estimation for global exponential stability of the addressed system. We also give two simulations examples to verify our theoretical findings.