Abstract
In approximate identification, the goal of the model should be taken into account when evaluating model quality. The purpose of this paper is the development of a system identification procedure, resulting in model sets that are suitable for subsequent robust control design. Incorporation of control relevance in the procedure results in a closed-loop frequency response-based multivariable system identification procedure. The model is represented as a coprime factorization, enabling the usage of stable model perturbations. The main result is the direct estimation of control-relevant coprime factors, exploiting knowledge of a stabilizing controller during the identification experiment. A numerically reliable iterative algorithm is devised, which is illustrated by means of experimental results.
Original language | English |
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Title of host publication | Proceedings of the 2008 American Control Conference (ACC2008), Seattle, Washington, USA, June 11-13, 2008 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 625-631 |
ISBN (Print) | 978-1-4244-2078-0 |
DOIs | |
Publication status | Published - 2008 |
Event | 2008 American Control Conference (ACC 2008) - Westin Seattle Hotel, Seattle, WA, United States Duration: 11 Jun 2008 → 13 Jun 2008 http://acc2008.a2c2.org/ |
Conference
Conference | 2008 American Control Conference (ACC 2008) |
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Abbreviated title | ACC 2008 |
Country/Territory | United States |
City | Seattle, WA |
Period | 11/06/08 → 13/06/08 |
Internet address |