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
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;
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
DOI :
10.1109/ICACIA.2008.4769983
