Global Exponential Convergence of HCNNs with Neutral Type Proportional Delays and D Operator

摘要

This paper deals with a class of high-order cellular neural networks with neutral type proportional delays and D operator. By applying differential inequality techniques, we show that all solutions of the addressed system converge exponentially to zero vector. In addition, we provide an example and its numerical simulations to demonstrate the effectiveness of the proposed results.