Abstract
This paper describes the unified Refined Instrumental Variable approach to the time domain identification and estimation of both discrete-time (RIV) and continuous-time (RIVC) transfer function models. It demonstrates how this approach yields parameter estimates with optimal statistical properties for the Box-Jenkins and hybrid Box-Jenkins model forms on which the associated RIV and RIVC estimation algorithms are based. The performance of the algorithms, which can be implemented in en-bloc or recursive form, is evaluated by Monte-Carlo simulation analysis and their practical utility is illustrated by a number of practical environmental examples.
| Original language | English |
|---|---|
| Pages (from-to) | 149-179 |
| Number of pages | 31 |
| Journal | Journal Europeen des Systemes Automatises |
| Volume | 42 |
| Issue number | 2-3 |
| DOIs | |
| Publication status | Published - 2008 |