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
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;
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
DOI :
10.1109/ICCSE.2009.5228504