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A robust adaptive observer for nonlinear systems with unknown inputs and disturbance

Abstract : We present a simple robust adaptive observer for systems with unknown inputs. The class of systems includes partially linear systems with differentiable non-linearities provided that the solutions are bounded (the bound is unknown). Parametric uncertainty and additive disturbances are considered where the parameters are piece-wise constant. It is also assumed that measurable outputs are corrupted by noise. We show under certain necessary and sufficient conditions convergence of the estimation errors.
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https://hal-supelec.archives-ouvertes.fr/hal-00521524
Contributor : Antonio Loria <>
Submitted on : Monday, September 27, 2010 - 5:33:24 PM
Last modification on : Wednesday, April 8, 2020 - 3:24:52 PM

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Habib Dimassi, Antonio Loria, Safya Belghyth. A robust adaptive observer for nonlinear systems with unknown inputs and disturbance. 49th. IEEE Conf. Decision Control, Dec 2010, Atlanta, United States. pp.2602-2607, ⟨10.1109/CDC.2010.5717678⟩. ⟨hal-00521524⟩

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