Exponential Stability, Periodic Solutions and Global Attraction of Delay BAM Neural Networks
The global exponential stability, the periodic solutions and the global attraction of bi-directional associative memory neural networks with delays are studied by constructing suitable Lyapunov functional and the Young inequality technique. Some sufficient conditions are given and several theorems are established for the global exponential stability, the periodic solutions and the global attraction of bidirectional associative memory neural networks with delays. The earlier results are extended and improved, and some illustrative examples are given to demonstrate the effectiveness of the results in this paper.
Xuyang Lou Baotong Cui
Research Center of Control Science and Engineering Southern Yangtze University 1800 Lihu Rd.,Wuxi, Jiangsu 214122, P.R.China
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）