LMI conditions for global asymptotic stability results for neutral-type neural networks with distributed time delays

作者：Rakkiyappan R; Balasubramaniam P^*

来源：Applied Mathematics and Computation, 2008, 204(1): 317-324.

DOI：10.1016/j.amc.2008.06.049

• discrete delays
• global asymptotic stability
• linear matrix inequality
• Lyapunov-Krasovskii functional
• neutral-type neural networks
• unbounded distributed delays

In this paper, the global asymptotic stability of neutral-type neural networks with unbounded distributed delays is analyzed by utilizing the Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach. A new sufficient condition ensuring the global asymptotic stability for neutral-type neural networks is obtained by using the powerful MATLAB LMI toolbox. Two examples are provided to illustrate the applicability of the stability results.

• 出版日期2008-10-1