DocumentCode :
2496021
Title :
Impulsive hybrid synchronization of chaotic discrete-time delayed neural networks
Author :
Kaslik, Eva ; Sivasundaram, S.
Author_Institution :
Dept. of Math. & Comput. Sci., West Univ. of Timisoara, Timişoara, Romania
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Impulsive synchronization results are presented for discrete-time neural networks with delay, using linear matrix inequality and vector Lyapunov function techniques. The synchronizing impulses are assumed to contain non-delayed, as well as delayed terms. An example is given to illustrate the effectiveness of the results.
Keywords :
Lyapunov methods; delay systems; discrete time systems; linear matrix inequalities; neural nets; nonlinear systems; synchronisation; chaotic discrete-time delayed neural networks; impulsive hybrid synchronization; linear matrix inequality; vector Lyapunov function; Artificial neural networks; Bifurcation; Chaos; Delay; Linear matrix inequalities; Lyapunov method; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
ISSN :
1098-7576
Print_ISBN :
978-1-4244-6916-1
Type :
conf
DOI :
10.1109/IJCNN.2010.5596841
Filename :
5596841
Link To Document :
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