DocumentCode :
547470
Title :
The exponential stability criteria of impulsive switched neural networks with time-invariant delays
Author :
Zhang, Xianmin ; Huang, Xiyue ; Liu, Zuohua
Author_Institution :
Coll. of Autom., Chongqing Univ., Chongqing, China
Volume :
1
fYear :
2011
fDate :
10-12 June 2011
Firstpage :
582
Lastpage :
586
Abstract :
The exponential stability of impulsive switched systems with time-invariant delays is considered. By applying Lyapunov functional method and inequality technique, A sufficient conditions are obtained for the exponential stability of solutions of the impulsive switched systems with delays. An example is given to illustrate the application of the obtained results.
Keywords :
asymptotic stability; delays; neural nets; Lyapunov functional method; exponential stability criteria; impulsive switched neural network; impulsive switched system; time-invariant delays; Artificial neural networks; Asymptotic stability; Circuit stability; Delay; Stability criteria; Switched systems; Lyapunov function; exponentially stable; impulsive switched systems; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
Type :
conf
DOI :
10.1109/CSAE.2011.5953288
Filename :
5953288
Link To Document :
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