摘要：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.
