Global asymptotic stability of delay bam neural networks with impulses based on matrix theory

By constructing suitable Lyapunov functional and using matrix theory, the global asymptotic stability of delay bi-directional associative memory neural networks with impulses is studied. This paper gives a sufficient condition which is independent with the delayed quantity for the global asymptotic stability of these networks. An illustrative example is given to demonstrate the effectiveness of the obtained results.