Existence and exponential stability of periodic solution for fuzzy BAM neural networks with periodic coefficient
Authors
Liao Dai-xi
Hunan Inst. Technology, China
Yang Li-hui
Hunan City Univ., China
Qian-hong Zhang
Guizhou College Finance and Economics, China
Abstract
A class of fuzzy bidirectional associated memory (BAM) networks with periodic coefficients is studied.
Some sufficient conditions are established for the existence and global exponential stability of a periodic solution
of such fuzzy BAM neural networks by using a continuation theorem based on the coincidence degree and the Lyapunov-function method.
The sufficient conditions are easy to verify in pattern recognition and automatic control. Finally, an example is given to show the feasibility and efficiency of our results.
