DocumentCode
2550477
Title
Stability for Neural Networks of Neutral-Type Systems with Time-Varying Delays Arguments
Author
Bu, Wei-Chun ; Zhong, Shou-ming
Author_Institution
Sch. of Appl. Math., Univ. Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
110
Lastpage
113
Abstract
In this paper, asymptotic stability for a new type of neutral delay neural networks systems is investigated. Stability criteria are presented by using Lyapunov method and linear matrix inequalities (LMIs) which can be easily solved by LMI Toolbox in Matlab.
Keywords
Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neural nets; stability criteria; time-varying systems; LMI Toolbox; Lyapunov method; Matlab; asymptotic stability; linear matrix inequalities; neutral delay neural networks systems; neutral-type systems; stability criteria; time-varying delays arguments; Asymptotic stability; Bismuth; Cellular neural networks; Delay effects; Delay systems; Linear matrix inequalities; Mathematics; Neural networks; Neurons; Time varying systems; LMI; Neural networks; neutral system; time-varying delays;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3427-5
Electronic_ISBN
978-1-4244-3426-8
Type
conf
DOI
10.1109/ICACIA.2008.4769983
Filename
4769983
Link To Document