This paper deals with the problem of designing observers for nonlinear systems in observability canonical without having at one's disposal a model for the underlying dynamics. Such an objective is pursued by coupling the classical highgain observer structure with several different adaptation laws borrowed from the adaptive control literature. The overall architecture is demonstrated to accomplish the set goal under rather standard assumptions. Some numerical simulations are provided to demonstrate the effectiveness of the proposed observer.

Gismondi, F., Possieri, C. (2023). Adaptive high-gain observers for systems in observability canonical form. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 (pp.01-06). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICCAD57653.2023.10152400].

Adaptive high-gain observers for systems in observability canonical form

Gismondi F.;Possieri C.
2023-01-01

Abstract

This paper deals with the problem of designing observers for nonlinear systems in observability canonical without having at one's disposal a model for the underlying dynamics. Such an objective is pursued by coupling the classical highgain observer structure with several different adaptation laws borrowed from the adaptive control literature. The overall architecture is demonstrated to accomplish the set goal under rather standard assumptions. Some numerical simulations are provided to demonstrate the effectiveness of the proposed observer.
2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
ita
2023
Rilevanza internazionale
2023
Settore ING-INF/04
English
Adaptive control
Continuous time system estimation
Neural networks
Nonlinear observers
Intervento a convegno
Gismondi, F., Possieri, C. (2023). Adaptive high-gain observers for systems in observability canonical form. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 (pp.01-06). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICCAD57653.2023.10152400].
Gismondi, F; Possieri, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/337746
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