Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation - Université Côte d'Azur Access content directly
Conference Papers Year : 2024

Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation

Abstract

Electrical Throttle Bodies (ETBs) are massively used in the automotive industry and their modeling and control are challenging because of their high nonlinearity and stochasticity. In this paper, we present a data-driven method grounded on the Koopman operator for the identification of a real ETB valve. The model obtained is control-oriented and represented in a quasi- linear-parameter varying framework. Different experiments are performed to evaluate the performance of the proposed method, including the comparison with two classical nonlinear system identification methods.
Fichier principal
Vignette du fichier
ACC24.pdf (1.51 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04562773 , version 1 (29-04-2024)

Identifiers

  • HAL Id : hal-04562773 , version 1

Cite

Nicolas Bongiovanni, Bojan Mavkov, Renato Martins, Guillaume Allibert. Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation. American Control Conference (ACC 2024), Jul 2024, Toronto, Canada. ⟨hal-04562773⟩
0 View
0 Download

Share

Gmail Facebook X LinkedIn More