Adaptive control of chaotic systems in a noisy environment

We present an adaptive method that allows to control or synchronize chaotic systems to a goal behavior in presence of large additive noise. The method is based on a state-parameter estimator, the Kalman filter, and requires the previous knowledge of the system dynamics. We show the robustness of the...

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Bibliographic Details
Published in:Physics letters. A 1994-12, Vol.196 (1), p.326-330
Main Authors: Cazelles, B., Boudjema, G., Chau, N.P.
Format: Article
Language:English
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Summary:We present an adaptive method that allows to control or synchronize chaotic systems to a goal behavior in presence of large additive noise. The method is based on a state-parameter estimator, the Kalman filter, and requires the previous knowledge of the system dynamics. We show the robustness of the procedure in the presence of large noise both in discrete and continuous systems.
ISSN:0375-9601
1873-2429
DOI:10.1016/0375-9601(94)91094-4