Robust stability criteria for interval Cohen–Grossberg neural networks with time varying delay

Robust exponential stability for interval Cohen–Grossberg neural networks with time varying delay has received increasing interest in recent years. In this paper, some new criteria are derived using linear matrix inequality, matrix norm and Halanay inequality techniques. Compared with the existing results, these new criteria are not conservative and are convenient to check. Three numerical examples are used to show the effectiveness of the obtained results.