DocumentCode
3576010
Title
Adaptive adjustor designs for a class of nonlinearly sampling coupled networks
Author
Xiao-Zheng Jin ; Dan Ye
Author_Institution
Key Lab. of Manuf., Ind. Integrated Autom., Shenyang Univ., Shenyang, China
fYear
2014
Firstpage
1359
Lastpage
1364
Abstract
This paper designs a coupling adjustor for asymptotic synchronization of complex networks with a class of nonlinear sampling couplings. A version of the adaptive scheme is provided to adjust coupling strength for compensating for the adverse impact of sampling errors. Based on the Lyapunov stability theory, the asymptotic synchronization results of the whole networks can be obtained for nonlinear sampling couplings even without any control inputs. Finally, the proposed adaptive adjustment schemes are verified by an example on a Chua´s circuit network.
Keywords
compensation; complex networks; network theory (graphs); synchronisation; Chua circuit network; Lyapunov stability theory; adaptive adjustor design; asymptotic synchronization; compensation; coupling strength; nonlinearly sampling coupled networks; Adaptation models; Adaptive systems; Complex networks; Couplings; Delays; Robustness; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231775
Filename
7231775
Link To Document