DocumentCode :
2785742
Title :
Adaptive tracking control for a class of Chua´s chaotic systems
Author :
He, Naibao ; Gao, Qian ; Gong, Chenglong ; Feng, Yuan ; Jiang, Changsheng
Author_Institution :
Huaihai Inst. of Techology, Lianyungang, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4241
Lastpage :
4243
Abstract :
We present a systematic design procedure to Chua´s chaotic system based on back-stepping procedure. This approach needs only a transformation to realize. Combining the backstepping method with robust control technology, an adaptive parameter control law is developed and thus the output tracking is successfully accomplished for the system with unknown parameters and dynamic uncertainties. It is proved that the derived robust adaptive controller based on Lyapunov stability theory can guarantee that all states of the closed-loop system are globally uniformly ultimately bounded, and lead the system tracking error to a small neighborhood. Finally simulation results are provided to show the effectiveness of the proposed approach.
Keywords :
Lyapunov methods; adaptive control; chaos; closed loop systems; control nonlinearities; control system synthesis; feedback; nonlinear control systems; robust control; tracking; uncertain systems; Chua chaotic system; Lyapunov stability theory; adaptive parameter control law; back-stepping procedure; closed-loop system; dynamic uncertainty; feedback; output tracking control; robust control technology; system tracking error; systematic design procedure; Adaptive control; Backstepping; Chaos; Control systems; Error correction; Lyapunov method; Programmable control; Robust control; Robust stability; Uncertainty; Chua´s chaotic system; adaptive control; backstepping; output-tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192052
Filename :
5192052
Link To Document :
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