On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods

Rodrigo González (Corresponding author), Cristian R. Rojas, Siqi Pan, James S. Welsh

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
55 Downloads (Pure)

Abstract

The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop. The continuous-time equivalent of the transfer function estimate given by the RIV method is commonly used as an initialization point for the RIVC estimator. In this letter, we prove that these estimators share the same converging points for finite sample size when the continuous-time model has relative degree zero or one. This relation does not hold for higher relative degrees. Then, we propose a modification of the RIV method whose continuous-time equivalent is equal to the RIVC estimator for any non-negative relative degree. The implications of the theoretical results are illustrated via a simulation example.

Original languageEnglish
Article number10143357
Pages (from-to)2233 - 2238
Number of pages6
JournalIEEE Control Systems Letters
Volume7
DOIs
Publication statusPublished - 2 Jun 2023

Keywords

  • system identification
  • refined instrumental variables
  • parsimony
  • Linear systems
  • Refined Instrumental Variables
  • Instruments
  • Transfer functions
  • Identification
  • Optimization
  • Computed tomography
  • Parsimony
  • Mathematical models
  • System identification

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