LMI‐Based Approach for Exponential Robust Stability of High‐Order Hopfield Neural Networks with Time‐Varying Delays

This paper studies the problems of global exponential robust stability of high‐order hopfield neural networks with time‐varying delays. By employing a new Lyapunov‐Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high‐order neural networks are established, which are easily verifiable and have a wider adaptive.