Global stability analysis for a class of neural networks with varying delays and control input

作者：Cao, Jiuwen^*; Zhong, Shouming; Hu, Yuanyuan

来源：Applied Mathematics and Computation, 2007, 189(2): 1480-1490.

DOI：10.1016/j.amc.2006.12.048

• global stability
• control input
• neutral systems
• Razumikhin's method
• Liapunov-Krasovskii functions
• varying delays

In this paper, we will give a novel criterion for the global stabilization of the zero solutions of a class of neural networks with varying delays and control input described by nonlinear delay differential equations of the neutral type. By using the method of Liapunov-Krasovskii functions, some sufficient conditions for ensuring the global stability of these neutral systems of neural networks are obtained. Some examples are included to illustrate the feasibleness of our results.

• 出版日期2007-6-15
• 单位电子科技大学