Abstract
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.
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