时滞离散细胞神经网络的指数稳定性

摘要

利用不等式和矩阵范数技巧分别得到了时滞离散细胞神经网络局部指数和全局指数稳定的充分条件,并对指数收敛率和吸引区域进行了估计.%In this paper,the authors establish some sufficient conditions for the discrete-time cellular neural networks (CNNs) to be local exponentially stable and global exponentially stable in term of inequality analysis techniques and matrix norm. The exponential convergence rate and the basin of attraction of the stable equilibrium of the discrete-time CNNs are estimated.