Global Exponential Stability Criteria for Bidirectional Associative Memory Neural Networks with Time-Varying Delays

J. Thipcha, P. Niamsup
2013 Abstract and Applied Analysis  
The global exponential stability for bidirectional associative memory neural networks with time-varying delays is studied. In our study, the lower and upper bounds of the activation functions are allowed to be either positive, negative, or zero. By constructing new and improved Lyapunov-Krasovskii functional and introducing free-weighting matrices, a new and improved delay-dependent exponential stability for BAM neural networks with time-varying delays is derived in the form of linear matrix
more » ... of linear matrix inequality (LMI). Numerical examples are given to demonstrate that the derived condition is less conservative than some existing results given in the literature.
doi:10.1155/2013/576721 fatcat:367kpa3xzbexbldakbn2giqzji