Academic Editor: Patricia J. Y. Wong
Copyright © 2009 Yongkun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Based on the theory of calculus on time scales, the homeomorphism theory, Lyapunov
functional method, and some analysis techniques, sufficient conditions are obtained for
the existence, uniqueness, and global exponential stability of the equilibrium point of
Cohen-Grossberg bidirectional associative memory (BAM) neural networks with distributed
delays and impulses on time scales. This is the first time applying the time-scale calculus theory to unify the discrete-time and continuous-time Cohen-Grossberg
BAM neural network with impulses under the same framework.