Global exponential convergence of non-autonomous SICNNs with multi-proportional delays

摘要

We give a detailed analysis on convergence for a class of non-autonomous shunting inhibitory cellular neural networks involving multi-proportional delays. By employing the differential inequality techniques, we establish a novel result to ensure that all solutions of the addressed system converge exponentially to zero vector. Moreover, numerical simulations supporting our theoretical results are also included.