Asymptotic statistical analysis for model-based control design strategies
2011 (English)In: Automatica, ISSN 0005-1098, Vol. 47, no 5, 1041-1046 p.Article in journal (Refereed) Published
In this paper, we generalize existing fundamental limitations on the accuracy of the estimation of dynamic models. In addition, we study the large sample statistical behavior of different estimation-based controller design strategies. In particular, fundamental limitations on the closed-loop performance using a controller obtained by Virtual Reference Feedback Tuning (VRFT) are studied. We also extend our results to more general estimation-based control design strategies. We present numerical examples to show the application of our results.
Place, publisher, year, edition, pages
2011. Vol. 47, no 5, 1041-1046 p.
System identification, Maximum likelihood, Model-based control
IdentifiersURN: urn:nbn:se:kth:diva-34243DOI: 10.1016/j.automatica.2011.01.058ISI: 000290502200022ScopusID: 2-s2.0-79954875924OAI: oai:DiVA.org:kth-34243DiVA: diva2:422624
QC 201507302011-06-132011-05-302015-07-30Bibliographically approved