Copyright © 2010 Chengjun Duan and Qiankun Song. 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.
The discrete-time delayed neural network with complex-valued linear threshold
neurons is considered. By constructing appropriate Lyapunov-Krasovskii functionals
and employing linear matrix inequality technique and analysis method, several new delay-dependent
criteria for checking the boundedness and global exponential stability are established.
Illustrated examples are also given to show the effectiveness and less conservatism of
the proposed criteria.