DocumentCode :
3379833
Title :
Novel delay-dependent robust stability criteria for uncertain neutral-type delayed neural networks with discrete interval time-varying delays
Author :
Yi Tang ; Runhua Wang ; Zhiming Dong
Author_Institution :
Sch. of Electron. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
357
Lastpage :
361
Abstract :
In this paper, the delay-dependent robust stability is investigated for uncertain neutral-type delayed neural networks with discrete interval time-varying delays. The parameter uncertainties are assumed to be norm bounded. Based on the Lyapunov-Krasovskii functional, the Leibniz-Newton formula and the linear matrix inequality (LMI) technique, some robust stability conditions are proposed by introducing some free-weighting matrices. A numerical example is presented to illustrate the efficiency of proposed result.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; robust control; uncertain systems; LMI technique; Leibniz-Newton formula; Lyapunov-Krasovskii functional; delay-dependent robust stability criteria; discrete interval time-varying delays; free-weighting matrix; linear matrix inequality; parameter uncertainties; uncertain neutral-type delayed neural networks; Asymptotic stability; Delays; Neural networks; Robust stability; Stability criteria; Symmetric matrices; delay-dependent; neural networks; neutral-type; robust stability; time-varying delays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
Type :
conf
DOI :
10.1109/ICCI-CC.2013.6622267
Filename :
6622267
Link To Document :
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