A robust adaptive observer for nonlinear systems with unknown inputs and disturbance
Identifieur interne : 002133 ( Hal/Checkpoint ); précédent : 002132; suivant : 002134A robust adaptive observer for nonlinear systems with unknown inputs and disturbance
Auteurs : Habib Dimassi [France] ; Antonio Loria [France] ; Safya Belghyth [Tunisie]Source :
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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DOI: 10.1109/CDC.2010.5717678
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<front><div type="abstract" xml:lang="en">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.</div>
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