Adaptive Control on a Class of Uncertain Chaotic Systems
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Abstract
By using a simple combination of feedback entrainment control (with an updating feedback strength) and adaptive scheme, for a large class of chaotic systems, it is proven rigorously by using the invariance principle of differential equations that all unknown model parameters can be estimated dynamically and the uncertain system can be controlled to an arbitrary desired smooth orbit. The illustration of the Lorenz system and the corresponding numerical results on the effect of noise are given.
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Cite this article:
LIU Guo-Gang, ZHAO Yi. Adaptive Control on a Class of Uncertain Chaotic Systems[J]. Chin. Phys. Lett., 2005, 22(5): 1069-1071.
LIU Guo-Gang, ZHAO Yi. Adaptive Control on a Class of Uncertain Chaotic Systems[J]. Chin. Phys. Lett., 2005, 22(5): 1069-1071.
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LIU Guo-Gang, ZHAO Yi. Adaptive Control on a Class of Uncertain Chaotic Systems[J]. Chin. Phys. Lett., 2005, 22(5): 1069-1071.
LIU Guo-Gang, ZHAO Yi. Adaptive Control on a Class of Uncertain Chaotic Systems[J]. Chin. Phys. Lett., 2005, 22(5): 1069-1071.
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