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
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;
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
DOI :
10.1109/CCA.2010.5611331
