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Zbl 1119.34054
Song, Qiankun; Cao, Jinde
Global robust stability of interval neural networks with multiple time-varying delays. (English)
[J] Math. Comput. Simul. 74, No. 1, 38-46 (2007). ISSN 0378-4754

Interval neural networks with multiple time-varying delays are studied. Global robust stability of such networks is proved by means of Lyapunov-Razumikhin technique and matrix inequality analysis. New sufficient conditions for the existence and uniqueness of an equilibrium point are provided by the authors. One example is given as well.
[Angela Slavova (Sofia)]
MSC 2000:
*34K20 Stability theory of functional-differential equations
92B20 General theory of neural networks
93D09 Robust stability of control systems

Keywords: interval neural networks; global robust stability; multiple time-varying delays; Lyapunov-Razumikhin technique

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