- Title
- Asymptotic statistical analysis for model-based control design strategies
- Creator
- Esparza, Alicia; Agüero, Juan C.; Rojas, Cristian R.; Godoy, Boris I.
- Relation
- Automatica Vol. 47, Issue 5, p. 1041-1046
- Publisher Link
- http://dx.doi.org/10.1016/j.automatica.2011.01.058
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2011
- Description
- 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.
- Subject
- system identification; maximum likelihood; model-based control
- Identifier
- http://hdl.handle.net/1959.13/937114
- Identifier
- uon:12500
- Identifier
- ISSN:0005-1098
- Language
- eng
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