LMI-based criteria for Cohen-Grossberg BAM neutral neural networks with continuously distributed delays

摘要

Under two different assumptions, the issue of global stability problem is considered for Cohen-Grossberg BAM (CGBAM) neutral neural networks (NNS) with continuously distributed delays. The amplification functions are handled by an interval value. By establishing a new Lyapunov-Krasovskii functional (LKF) and using inequality technique, the novel global stability criteria of CGBAM neutral neural network are described by a linear matrix inequality (LMI). The result establishes a relationship between the CGBAM neural networks and the neutral neural networks.