DocumentCode :
551227
Title :
Delay-dependent passivity analysis for delayed neural networks with Markovian jumping parameters
Author :
Li Yongmin ; Fei Shumin ; Xia Jianwei ; Chu Yuming
Author_Institution :
Sch. of Sci., Huzhou Teachers Coll., Huzhou, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
2810
Lastpage :
2814
Abstract :
This paper deals with the problems of passivity analysis for a class of delayed neural networks with Markovian jumping parameters. New delay-dependent passivity criteria conditions for the neural networks concerned are obtained by using a mode-dependent Lyapunov functional and introducing some slack variables. These conditions are expressed by means of linear matrix inequalities (LMIs) which are easy to check. Different from literature [27], the time-varying delay interval is more general and the uncertainties are Markovian form , thus covers the system studied in [27] as a special case.
Keywords :
Markov processes; delays; linear matrix inequalities; neural nets; Markovian jumping parameter; delay-dependent passivity analysis; delayed neural network; linear matrix inequalities; mode-dependent Lyapunov functional; slack variable; Asymptotic stability; Biological neural networks; Delay; Delay effects; Stability analysis; Uncertainty; Delay-dependent Conditions; Markovian Jumping Parameters; Passivity; Time-varying Delays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001572
Link To Document :
بازگشت