This work proposes a redesign method for nonlinear observers to reduce the effect of a particular class of output disturbances. Specifically, it is considered a disturbance composed of a term generated from a known system and an unstructured term. The proposed approach does not require modifying the original observer and is based on adding a simple filter that includes an internal model of the disturbance generator. Sufficient conditions for stability of the proposed filter-observer architecture are given. Moreover, the approach is validated through numerical simulations.

Cecilia, A., Astolfi, D., Bin, M., Costa-Castelló, R. (2024). Canceling output disturbances in observer design through internal model filters. AUTOMATICA, 162, 1-9 [10.1016/j.automatica.2024.111529].

Canceling output disturbances in observer design through internal model filters

Astolfi, Daniele
Secondo
;
Bin, Michelangelo
Penultimo
;
2024

Abstract

This work proposes a redesign method for nonlinear observers to reduce the effect of a particular class of output disturbances. Specifically, it is considered a disturbance composed of a term generated from a known system and an unstructured term. The proposed approach does not require modifying the original observer and is based on adding a simple filter that includes an internal model of the disturbance generator. Sufficient conditions for stability of the proposed filter-observer architecture are given. Moreover, the approach is validated through numerical simulations.
2024
Cecilia, A., Astolfi, D., Bin, M., Costa-Castelló, R. (2024). Canceling output disturbances in observer design through internal model filters. AUTOMATICA, 162, 1-9 [10.1016/j.automatica.2024.111529].
Cecilia, Andreu; Astolfi, Daniele; Bin, Michelangelo; Costa-Castelló, Ramon
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/959312
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