Brief Papers Robust Stability of Cohen–Grossberg Neural Networks via State Transmission Matrix

Abstract—This brief is concerned with the global robust exponential sta-bility of a class of interval Cohen–Grossberg neural networks with both multiple time-varying delays and continuously distributed delays. Some new sufficient robust stability conditions are established in the form of state transmission matrix, which are different from the existing ones. Further-more, a sufficient condition is also established to guarantee the global sta-bility for this class of Cohen–Grossberg neural networks without uncer-tainties. Three examples are used to show the effectiveness of the obtained results. Index Terms—Continuously distributed delays, Cohen–Grossberg neural networks, robust stability, state transmission matrix, time-varying delays. I