An linear matrix inequality approach to the global asymptotic stability for delayed cellular neural networks

作者：Zhang Qiang^*; Wei Xiaopeng; Cui Guangzhao

来源：Journal of Computational and Theoretical Nanoscience, 2007, 4(7-8): 1274-1277.

DOI：10.1166/jctn.2007.010

• global asymptotic stability
• delayed cellular neural networks
• lyapunov functional
• linear matrix inequality

The stability of delayed cellular neural networks is considered. By combining the Lyapunov functional with the linear matrix inequality (LMI) technique, several global asymptotic stability conditions are derived. The method is simple and straightforward. The results obtained in this paper generalize some earlier results in the literature. An example is illustrated to show the applicability of the results.

• 出版日期2007-12
• 单位大连理工大学; 郑州轻工业大学