DocumentCode :
480224
Title :
Global Exponential Synchronization for a Class of Delayed Chaotic Networks Using Partial System States
Author :
Jian, Jigui ; Yu, Hui
Author_Institution :
Inst. of Nonlinear & Complex Syst., China Three Gorges Univ., Yichang
Volume :
4
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
827
Lastpage :
830
Abstract :
This Letter deals with the global exponential synchronization of a class of chaotic networks with time delays. Based on the Halanay inequality technique and the Lyapunov stability theory, the global synchronization of a network about its all variables is derived by only considering the global synchronization of its partial variables, and a delay-independent criteria and decentralized control law is derived to ensure the adaptive exponential synchronization of the model and these results are proved to be able to guarantee different exponential convergence rates for the controlled states and the uncontrolled states of the error systems, respectively, and the simpler, less conservative and more efficient results are easy to be verified in engineering applications. Finally, an illustrative example is presented to verify the effectiveness of the presented synchronization scheme.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; chaos; decentralised control; delays; nonlinear control systems; synchronisation; Halanay inequality technique; Lyapunov stability theory; controlled state; decentralized control law; error system; global adaptive exponential synchronization; partial system state; time delayed chaotic network; Centralized control; Chaos; Chaotic communication; Computer science; Delay effects; Distributed control; Feedback control; Lyapunov method; Neurons; Software engineering; Halanay inequality; Synchronization; chaotic network; partial states feedback control; time delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.817
Filename :
4722746
Link To Document :
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