DocumentCode :
596656
Title :
Parameter identification and partial synchronization of different chaotic systems
Author :
Ying Yang ; Minghui Jiang ; Wenqing Liu
Author_Institution :
Dept. of Math., China Three Gorges Univ., Yichang, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
610
Lastpage :
614
Abstract :
This paper proposes an approach of part synchronization to identify the unknown parameters of the different structures of uncertain chaotic system. Based on Asymptotic stability theory, we design an observer to identify the unknown parameters in the uncertain chaotic system. At the same time, in order to achieve the different structure of uncertain Lorenz chaotic system and Coullet synchronization, we construct the synchronous controller and determine its gain range by using the backstepping approach. The simulation results demonstrate the effectiveness of the observer and controller. In comparison with the existing literature, we optimize the observer and the controller which can achieve the part synchronization of the different structures of uncertain chaotic systems.
Keywords :
asymptotic stability; chaos; nonlinear control systems; observers; optimisation; parameter estimation; synchronisation; Coullet synchronization; asymptotic stability theory; backstepping approach; gain range determination; observer design; observer optimization; parameter identification; partial synchronization; synchronous controller; uncertain Lorenz chaotic system; Chaos; Equations; Mathematical model; Observers; Parameter estimation; Synchronization; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463238
Filename :
6463238
Link To Document :
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