摘要

The global asymptotic stability for a class of Cohen-Grossberg neural networks (CGNNs) with time-varying delays is investigated. Delay-independent and delay-dependent stability criteria are proposed to guarantee the robust stability and uniqueness of equilibrium point of CGNNs via LMI approach. Some numerical examples are illustrated to show the effectiveness of our results.

  • 出版日期2011-5