摘要
引入可调实参数di>0(i=1,2,…,n),通过构造Lyapunov泛函,结合一些分析技巧,对一类时延细胞神经网络周期解的存在性和全局指数稳定性给出一些新的充分准则.这些准则可用于设计全局指数稳定的和周期振荡的具时滞的神经网络.
By ingeniously importing real parameters d_i>0(i=1, 2, ..., n) which can be adjusted, making use of the Lyapunov functional method and some analysis techniques, some new sufficient conditions for the existence of periodic solution and global exponential stability for cellular neural networks with delays are established. These conditions can be used to design globally exponentially stable and periodical oscillatory neural networks with delays.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
2004年第2期127-131,共5页
Journal of Fuzhou University(Natural Science Edition)
基金
国务院侨务办公室科研基金资助项目(01QZR02)
