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
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;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231775