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 language | English |
---|---|
Article number | 10143357 |
Pages (from-to) | 2233 - 2238 |
Number of pages | 6 |
Journal | IEEE Control Systems Letters |
Volume | 7 |
DOIs | |
Publication status | Published - 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