Abstract
In this paper, the stability problem of Takagi-Sugeno fuzzy BAM neural networks with time-varying delays is considered. Firstly, this model is established as a modified Takagi-Sugeno fuzzy model in which the consequent parts are composed of a set of BAM neural networks with time-varying delays. Secondly, a globally exponentially stable condition is presented in terms of linear matrix inequalities, which can be easily solved by some standard numerical packages. Finally, two numerical examples are given to illustrate the effectiveness of the theoretical results.