Global robust stability of a class of discrete-time interval neural networks

This paper is concerned with global robust stability of a general class of discrete-time interval neural networks which contain time-invariant uncertain parameters with their values being unknown but bounded in given compact sets. We first introduce the concept of diagonally constrained interval neu...

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Veröffentlicht in:IEEE transactions on circuits and systems. 1, Fundamental theory and applications Fundamental theory and applications, 2006-01, Vol.53 (1), p.129-138
Hauptverfasser: Sanqing Hu, Sanqing Hu, Jun Wang, Jun Wang
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Sprache:eng
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