DocumentCode :
721286
Title :
Chaos Synchronization of Hyperchaotic Zhou System by Adaptive Integral Sliding Mode Control
Author :
Toopchi, Yashar ; Jidong Wang
Author_Institution :
Sch. of Electr. & Comput. Eng. (SECE), Univ. of RMIT, Melbourne, VIC, Australia
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
73
Lastpage :
77
Abstract :
In this paper, an adaptive integral sliding mode control scheme is developed to study the control and synchronization of the hyper chaotic Zhou system with unknown parameters. First, an integral sliding mode control is designed which can stabilize the hyper chaotic Zhou system with known parameters to its unstable equilibrium at the origin. In the next step, the aim is synchronization of two identical hyper chaotic master and slave Zhou systems with unknown parameters. The master and slave system can be considered as a simple dynamical network with two nodes and one link. We propose an adaptive scheme which is led to a new type adaptive controller for this dynamical network with hyper chaotic Zhou system as oscillators which can identify unknown parameters of the master system and synchronize master and slave systems. Simulation results have shown that the proposed method has an excellent convergence from both speed and accuracy points of view and it outperforms Sundarapandian Vaidyanathan´s scheme, a well-recognized scheme in the area.
Keywords :
Lyapunov methods; adaptive control; chaos; nonlinear control systems; synchronisation; variable structure systems; SundarapandianVaidyanathan scheme; adaptive controller; adaptive integral sliding mode control scheme; chaos synchronization; dynamical network; hyperchaotic master Zhou systems; hyperchaotic slave Zhou systems; oscillators; Adaptive systems; Chaotic communication; Mathematical model; Physics; Sliding mode control; Synchronization; Lyapunov stability theory; Zhou system; adaptive control; hyperchaotic; integral sliding mode control; synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/ICCUBEA.2015.21
Filename :
7155810
Link To Document :
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