Robust stability analysis for uncertain delay neural networks

A delay dependent stability criterion for uncertain delay neural network is developed. A sufficient condition for the asymptotically robust stability of neural networks is proposed. The criterion includes the information on the size of time delay. In this criterion, a maximum admission delay value i...

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Veröffentlicht in:2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236) Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2001, Vol.3, p.1538-1541 vol.3
Hauptverfasser: Li Xie, Gang Xiong, Xing He, Nyberg, T.R., Xiaoming Xu
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Sprache:eng
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Zusammenfassung:A delay dependent stability criterion for uncertain delay neural network is developed. A sufficient condition for the asymptotically robust stability of neural networks is proposed. The criterion includes the information on the size of time delay. In this criterion, a maximum admission delay value is estimated. The checking for robust stability of uncertain delay neural networks by our result can be carried out simply. Our result is less conservative than previously known criterion.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2001.973502