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 |
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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 |