New delay-dependent global robust stability conditions for interval neural networks with time-varying delays

作者：Zong Guangdeng^*; Liu Jia

来源：Chaos Solitons & Fractals, 2009, 42(5): 2954-2964.

DOI：10.1016/j.chaos.2009.04.038

This paper deals with the problem of delay-dependent global robust stability analysis for interval neural networks with time-varying delays. By introducing an equivalent transformation of interval systems and the free-weighting matrix technique, a new delay-dependent condition on global robust stability is established. This condition is presented in terms of a linear matrix inequality (LMI), which can be easily checked by using recently developed algorithms in solving LMIs. A numerical example is provided to demonstrate the effectiveness of the proposed method.

• 出版日期2009-12-15
• 单位曲阜师范大学