Exponential Stability of BAM Neural Networks with Delays and Impulses
Deqin Chen, Kelin Li · 2006
Summary In this paper, a generalized model of bi-directional associative memory (BAM) neural networks delays and impulses is investigated. By constructing suitable Lyapunov functional, Halanaly differential inequality and M -matrix theory, some sufficient conditions for global exponential stability of generalized BAM neural networks with delays and impulses are obtained. An examples are given to show the effectiveness of the obtained results.