Direct data-driven LPV control of nonlinear systems: An experimental result

C. Verhoek (Corresponding author), H.S. Abbas, Roland Tóth

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)
38 Downloads (Pure)

Abstract

We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven representation is used as a surrogate LPV form of the data-driven representation of the original nonlinear system. The LPV data-driven control design that builds on this representation form uses only measurement data from the nonlinear system and a priori information on a scheduling map that can lead to an LPV embedding of the nonlinear system behavior. Efficiency of the proposed approach is demonstrated experimentally on a nonlinear unbalanced disc system showing for the first time in the literature that behavioral data-driven methods are capable to stabilize arbitrary forced equilibria of a real-world nonlinear system by the use of only 7 data points.
Original languageEnglish
Pages (from-to)2263-2268
Number of pages6
JournalIFAC-PapersOnLine
Volume56
Issue number2
DOIs
Publication statusPublished - 2023
Event22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023
Conference number: 22
https://www.ifac2023.org/

Keywords

  • Data-Driven Control
  • Linear Parameter-Varying Systems

Fingerprint

Dive into the research topics of 'Direct data-driven LPV control of nonlinear systems: An experimental result'. Together they form a unique fingerprint.

Cite this