HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating

Christian M. Jensen, Mathias C. Frederiksen, Carsten S. Kallesøe, Jeppe N. Jensen, Laurits H. Andersen, Roozbeh Izadi-Zamanabadi

Research output: Contribution to journalConference article in JournalResearchpeer-review

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Abstract

A computationally efficient Model-Predictive Control (MPC) approach is proposed for systems with unknown delay using only input/output data. We use the Koopman operator framework and the related Hankel Alternative View of Koopman (HAVOK) algorithm to identify a model in a basis of projected time-delay coordinates and demonstrate a novel MPC structure that reduces and bounds the computational complexity. The proposed HAVOK-MPC approach is validated experimentally on a laboratory-scale District Heating System (DHS), demonstrating excellent prediction and tracking performance while only requiring knowledge of a conservative upper bound on the system delay.
Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume56
Issue number2
Pages (from-to)2238-2243
Number of pages6
ISSN1474-6670
DOIs
Publication statusPublished - Nov 2023
Event22nd IFAC World Congress 2023 - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023
https://www.ifac2023.org/

Conference

Conference22nd IFAC World Congress 2023
Country/TerritoryJapan
CityYokohama
Period09/07/202314/07/2023
Internet address

Keywords

  • Delay systems
  • District heating systems
  • Dynamic Mode Decomposition
  • Koopman operator
  • Model Predictive Control
  • Modelling and system identification

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