DocumentCode
2696347
Title
Robust exponential stability for uncertain stochastic neural networks with mixed time-varying delays
Author
Hua, Mingang ; Fei, Juntao
Author_Institution
Coll. of Comput. & Inf., Hohai Univ., Changzhou, China
fYear
2010
fDate
8-10 Sept. 2010
Firstpage
1188
Lastpage
1192
Abstract
In this paper, novel theorem and corollaries are presented regarding the robust exponential stability of uncertain neural networks with mixed time-varying delays including discrete delays and distributed delays. The stability conditions in the new results improve and generalize existing ones. Several examples are included to show the effectiveness of the result.
Keywords
asymptotic stability; delays; neurocontrollers; robust control; time-varying systems; discrete delays; distributed delays; mixed time-varying delays; robust exponential stability; uncertain stochastic neural networks; Artificial neural networks; Biological neural networks; Delay; Numerical stability; Robustness; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2010 IEEE International Conference on
Conference_Location
Yokohama
Print_ISBN
978-1-4244-5362-7
Electronic_ISBN
978-1-4244-5363-4
Type
conf
DOI
10.1109/CCA.2010.5611331
Filename
5611331
Link To Document