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Communication Dans Un Congrès Année : 2011

An Instrumental Variable Method for Nonlinear System Identification Based on Sliding Modes

Ahmed-Rédha Meghnous
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Minh Tu Pham
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Xuefang Lin-Shi

Résumé

The paper deals with the dynamic identification in noisy environment of a class of nonlinear systems whose parameters depend linearly on the unknown parameters. The identification algorithm is based on an extended sliding modes observer and a least square estimation using an instrumental variable technique. The study of the measurement noise effect on the measured signals shows that the proposed solution is consistent. An application on a permanent magnet synchronous machine highlights the efficiency of the technique.
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Dates et versions

hal-00619037 , version 1 (05-09-2011)

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Ahmed-Rédha Meghnous, Minh Tu Pham, Xuefang Lin-Shi. An Instrumental Variable Method for Nonlinear System Identification Based on Sliding Modes. 18th IFAC World Congress, Aug 2011, Milan, Italy. pp.on line, ⟨10.3182/20110828-6-IT-1002.01335⟩. ⟨hal-00619037⟩
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