Data-Driven Optimal Output Feedback Control of Linear Systems from Input-Output Data (I)

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Abstract

We design optimal output feedback controllers for linear systems where only outputs are available for measurement and control actuation. The goal is to render the closed-loop system stable while minimizing a quadratic cost function balancing performance and control effort. We first provide a model-based solution to this problem, where an optimal dynamic output feedback controller is computed by solving a semidefinite program. Then, we shift our attention to data-based solutions, bypassing the system identification step. We derive semidefinite programs that are explicitly stated in terms of input-output data. The effectiveness of the method is illustrated via a power system case study.
Original languageEnglish
Title of host publicationProceedings of the IFAC World Congress 2023
Editors Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier
Pages1376-1381
Number of pages5
DOIs
Publication statusPublished - 2023
Event22nd International Federation of Automatic Control World Congress (IFAC WC 2023) - Yokohama, Japan
Duration: 9-Jul-202314-Jul-2023
https://www.ifac-control.org/conferences/ifac-world-congress-22nd-wc-2023tm

Publication series

NameIFAC-PapersOnLine
PublisherElsevier
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd International Federation of Automatic Control World Congress (IFAC WC 2023)
Country/TerritoryJapan
CityYokohama
Period09/07/202314/07/2023
Internet address

Keywords

  • Data-based control, Output feedback control (linear case), Data-driven optimal control

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