DocumentCode
3236110
Title
Stability analysis for a class of delay neural networks with nonlinear perturbations
Author
Wang, Ruliang ; Lei, Hong ; Wang, Jin
Author_Institution
Dept. of Inf. Technol., Guangxi Teachers´´ Univ., Nanning, China
fYear
2009
fDate
25-28 July 2009
Firstpage
158
Lastpage
160
Abstract
In this paper, we consider a class of time-delay dynamical neural networks with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we derive a robust stability criterion independent of delay. The sufficient criterion is given in terms of linear matrix inequality (LMI). The checking for robust stability of time-delay dynamical neural networks with nonlinear perturbation by our result can be carried out rather simply, and convenient for the application. The applicability of our results is demonstrated by means of a specific example.
Keywords
delays; linear matrix inequalities; neural nets; nonlinear functions; stability criteria; linear matrix inequality; nonlinear perturbation function; robust stability criterion; stability analysis; time-delay dynamical neural network; Artificial neural networks; Computer science; Computer science education; Delay; Information technology; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-3520-3
Electronic_ISBN
978-1-4244-3521-0
Type
conf
DOI
10.1109/ICCSE.2009.5228504
Filename
5228504
Link To Document