DocumentCode
2990315
Title
An Improved Delay-dependent Stability Criteria for Recurrent Neural Networks with Time-varying Delay
Author
Wang, Zhuo ; Wang, Chenghong ; Song, Su
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL
fYear
2008
fDate
3-5 Sept. 2008
Firstpage
876
Lastpage
881
Abstract
Combining the concept of sampling control with free weight matrix method, two delay-dependent asymptotic stability criteria are presented for the equilibrium point of a class of recurrent neural networks with time varying delay. The obtained results can be suitable for fast or slowly time-varying delayed recurrent neural networks, and larger upper bound of time delay can be admitted. Comparisons are made by a numerical example to show the effectiveness of the obtained results.
Keywords
asymptotic stability; delays; matrix algebra; recurrent neural nets; time-varying systems; delay-dependent asymptotic stability; free weight matrix; recurrent neural networks; sampling control; time-varying delay; Asymptotic stability; Control systems; Delay effects; Intelligent control; Recurrent neural networks; Stability analysis; Stability criteria; Time varying systems; USA Councils; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2008. ISIC 2008. IEEE International Symposium on
Conference_Location
San Antonio, TX
ISSN
2158-9860
Print_ISBN
978-1-4244-2224-1
Electronic_ISBN
2158-9860
Type
conf
DOI
10.1109/ISIC.2008.4635956
Filename
4635956
Link To Document