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

Ahmed-Rédha Meghnous 1 Minh Tu Pham 1, * Xuefang Lin-Shi 1
* Corresponding author
Abstract : 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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https://hal.archives-ouvertes.fr/hal-00619037
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Submitted on : Monday, September 5, 2011 - 10:37:17 AM
Last modification on : Tuesday, April 7, 2020 - 2:00:24 AM

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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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