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Conference Papers Year : 2023

An adaptive observer for time-varying nonlinear systems - application to a crop irrigation model

Abstract

We propose an adaptive observer for a class of nonlinear time-varying systems, for which the regressor depends not only on the known inputoutput signals but also on all the unmeasured states. There are state disturbances, and measurements are corrupted by noise. The Lyapunov function method is used to prove that the coupled system-observer dynamics admits a state-independent input-to-output stability property in estimation errors from unknown inputs. Numerical simulations illustrate the presented approach on a three-dimensional crop irrigation model.
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hal-04174481 , version 1 (31-07-2023)

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Gildas Dadjo, Denis Efimov, Jérôme Harmand, Alain Rapaport, Rosane Ushirobira. An adaptive observer for time-varying nonlinear systems - application to a crop irrigation model. 62nd IEEE Conference on Decision and Control, Dec 2023, Singapore, Singapore. pp.7489-7494, ⟨10.1109/CDC49753.2023.10384304⟩. ⟨hal-04174481⟩
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