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Zbl 1222.93175
Shao, Jin-Liang; Huang, Ting-Zhu; Zhou, Sheng
Some improved criteria for global robust exponential stability of neural networks with time-varying delays. (English)
[J] Commun. Nonlinear Sci. Numer. Simul. 15, No. 12, 3782-3794 (2010). ISSN 1007-5704

Summary: Some sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. It is shown that our results include some counterparts of the previous literature. On basis of the obtained results, some linear matrix inequality (LMI) criteria are derived. Moreover, three numerical examples and a simulation are given to show the effectiveness of the obtained results.

MSC 2000:: *93D09 Robust stability of control systems
34K20 Stability theory of functional-differential equations
92B20 General theory of neural networks
93C23 Systems governed by functional-differential equations

Keywords: interval neural networks; time-varying delays; global robust exponential stability; nonnegative matrix; linear matrix inequality; Halanay inequality

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