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Global robust exponential stability analysis for interval neural networks with mixed delays. (English) Zbl 1256.93079
Summary: A class of interval neural networks with time-varying delays and distributed delays is investigated. By employing $H$-matrix and $M$-matrix theory, homeomorphism techniques, the Lyapunov functional method, and the linear matrix inequality approach, sufficient conditions for the existence, uniqueness, and global robust exponential stability of the equilibrium point to the neural networks are established and some previously published results are improved and generalized. Finally, some numerical examples are given to illustrate the effectiveness of the theoretical results.
##### MSC:
 93D09 Robust stability of control systems 34K35 Functional-differential equations connected with control problems 34K20 Stability theory of functional-differential equations
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##### References:
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