Global Stability of Impulsive Cohen-Grossberg-type BAM Neural Networks

摘要：

In this paper, a class of impulsive Cohen-Grossberg type BAM neural networks is investigated. By using inequality technique, homeomorphism theory, and the M-matrix theory, we can obtain some general sufficient conditions ensuring the existence, uniqueness and global exponential stability of the equilibrium point of the impulsive Cohen-Grossberg-type BAM neural networks with distributed delays and variable coefficients.

关键词： Cohen-Grossberg neural networks BAM neural networks global exponential stability impulsive variable coefficients equilibrium point

作者: Tetie Pan Bao Shi Shujie Yang Qiang Zhang

作者单位: Institute of System Science and Mathematics Naval Aeronautical and Astronautical University Yantai, Shandong, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1176-1180

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）