DocumentCode
3307879
Title
New Global Asymptotic Stability Criteria for Neural Networks with Discrete and Distributed Delays
Author
Zhou, Jianping ; Wang, Zhen ; Shen, Hao ; Yan, Zhilian
Author_Institution
Sch. of Comput. Sci., Anhui Univ. of Technol., Ma´´anshan, China
fYear
2012
fDate
12-14 Jan. 2012
Firstpage
229
Lastpage
232
Abstract
This paper deals with the problem of stability analysis for neural networks with discrete and distributed delays. By constructing new Lyapunov-Krasovskii functionals, two criteria for the existence of a unique equilibrium point and its global asymptotic stability of the neural networks are developed in terms of linear matrix inequalities. Numerical examples are provided to illustrate the effectiveness of the proposed results.
Keywords
Lyapunov matrix equations; asymptotic stability; delays; linear matrix inequalities; neural nets; Lyapunov Krasovskii functionals; asymptotic stability; discrete delays; distributed delays; linear matrix inequalities; neural networks; stability analysis; Asymptotic stability; Delay; Educational institutions; Neural networks; Numerical stability; Stability criteria; delay; neural networks; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-1-4673-0470-2
Type
conf
DOI
10.1109/ICICTA.2012.64
Filename
6150183
Link To Document