Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach

Rodrigo González, Cristian R. Rojas, Siqi Pan, James S. Welsh

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)
25 Downloads (Pure)

Abstract

The identification of electrical, mechanical, and biological systems using data can
benefit greatly from prior knowledge extracted from physical modeling. Parametric continuous-time identification methods can naturally incorporate this knowledge, which leads to interpretable and parsimonious models. However, some applications lead to model structures that lack parsimonious descriptions using unfactored transfer functions, which are commonly used in standard direct approaches for continuous-time system identification. In this paper we characterize this parsimony problem, and develop a block-coordinate descent algorithm that delivers parsimonious models by sequentially estimating an additive decomposition of the transfer function of interest. Numerical simulations show the efficacy of the proposed approach.
Original languageEnglish
Pages (from-to)4216-4221
Number of pages6
JournalIFAC-PapersOnLine
Volume56
Issue number2
DOIs
Publication statusPublished - 1 Jul 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

  • Continuous-time system identification
  • block-coordinate descent
  • Parsimony
  • parsimony

Fingerprint

Dive into the research topics of 'Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach'. Together they form a unique fingerprint.

Cite this