Asymptotic stability analysis of neural networks with successive time delay components

作者：Zhao Yu; Gao Huijun^*; Mou Shaoshuai

来源：Neurocomputing, 2008, 71(13-15): 2848-2856.

DOI：10.1016/j.neucom.2007.08.015

• delay dependence
• successive delay components
• asymptotic stability
• neural networks

In this paper the asymptotic stability of a class of time-delay neural networks is investigated. The neural network model under consideration includes multiple components which is more general than those with the single delay. By constructing a new Lyapunov functional and by using advanced techniques for achieving delay dependence, we derive a new asymptotic stability criterion for neural networks with multiple successive delay components. A numerical example is provided to show the merits of the proposed criterion.

• 出版日期2008-8
• 单位哈尔滨工业大学