LMI-based approach for delay-dependent exponential stability analysis of BAM neural networks

Based on the Lyapunov–Krasovskii functionals in combination with linear matrix inequality (LMI) approach, a set of criteria are proposed for the exponential stability of BAM neural networks with constant or time-varying delays. These criteria manifest explicitly the influence of time delay on exponential convergence rate and show the differences between the excitatory and inhibitory effect. In addition, the obtained results are easily verified for determining the exponential stability of delayed BAM networks and impose less conservative and less restrictive than the ones in previous papers.