A sampling linear functional framework for data-driven analysis and control of continuous-time systems
A sampling linear functional framework for data-driven analysis and control of continuous-time systems
We set up a continuous-time data-driven control framework based on sampling linear functionals. Under some recently established sufficient conditions for informativity for system identification, we give data-based solutions to stabiliza- tion and optimal quadratic regulation problems.
Ohta, Yoshito
aa21505a-73bf-4e10-a0fb-a84006c69daf
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Ohta, Yoshito
aa21505a-73bf-4e10-a0fb-a84006c69daf
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Ohta, Yoshito and Rapisarda, Paolo
(2024)
A sampling linear functional framework for data-driven analysis and control of continuous-time systems.
In Proceedings 63rd IEEE Conference on Decision and Control.
IEEE..
(In Press)
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Conference or Workshop Item
(Paper)
Abstract
We set up a continuous-time data-driven control framework based on sampling linear functionals. Under some recently established sufficient conditions for informativity for system identification, we give data-based solutions to stabiliza- tion and optimal quadratic regulation problems.
Text
Sampling_linear_functional_approach_to_data_driven_analysis_and_control_of_continuous_time_systems-3
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Accepted/In Press date: 2024
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Local EPrints ID: 495444
URI: http://eprints.soton.ac.uk/id/eprint/495444
PURE UUID: 188c6f28-2e8b-42fb-82ec-3d8d3b6b76a7
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Date deposited: 13 Nov 2024 17:48
Last modified: 20 Dec 2024 05:01
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Contributors
Author:
Yoshito Ohta
Author:
Paolo Rapisarda
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