Setpoint control of bilinear systems from noisy data

Fuente: arXiv
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Main Authors: Bisoffi, Andrea, Steeman, Dominiek M., De Persis, Claudio
Format: Preprint
Published: 2024
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author Bisoffi, Andrea
Steeman, Dominiek M.
De Persis, Claudio
author_facet Bisoffi, Andrea
Steeman, Dominiek M.
De Persis, Claudio
contents We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should achieve regulation to a given state setpoint and provide a guaranteed basin of attraction. Determining the equilibrium input to achieve that setpoint is not trivial in a data-based setting and we propose the design of a controller in two scenarios. The design takes the form of linear matrix inequalities and is validated numerically for a Cuk converter.
format Preprint
id arxiv_https___arxiv_org_abs_2404_03594
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Setpoint control of bilinear systems from noisy data
Bisoffi, Andrea
Steeman, Dominiek M.
De Persis, Claudio
Systems and Control
Dynamical Systems
Optimization and Control
We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should achieve regulation to a given state setpoint and provide a guaranteed basin of attraction. Determining the equilibrium input to achieve that setpoint is not trivial in a data-based setting and we propose the design of a controller in two scenarios. The design takes the form of linear matrix inequalities and is validated numerically for a Cuk converter.
title Setpoint control of bilinear systems from noisy data
topic Systems and Control
Dynamical Systems
Optimization and Control
url https://arxiv.org/abs/2404.03594