DocumentCode :
527553
Title :
Exponential stability for impulsive bidirectional associative memory neural networks with continuously distributed delays
Author :
Xu, Junyan
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Volume :
2
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
767
Lastpage :
771
Abstract :
This paper considers the global exponential stability and exponential convergence rate of impulsive BAM neutral networks with continuously distributed delays in which the state variables on the impulses are related to the unbounded distributed delays. By establishing a new impulsive delay differential inequality, a new criterion concerning global exponential stability for these networks is derived, which generalize and improve the previously known results.
Keywords :
asymptotic stability; content-addressable storage; convergence; delays; neural nets; continuously distributed delays; exponential convergence rate; global exponential stability; impulsive BAM neutral networks; impulsive bidirectional associative memory neural networks; impulsive delay differential inequality; state variables; unbounded distributed delays; Artificial neural networks; Asymptotic stability; Chaos; Delay; Fractals; Stability criteria; BAM neural networks; continuously distributed delays; exponential stability; impulsive differential inequality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583194
Filename :
5583194
Link To Document :
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