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Asymptotic statistical analysis for model-based control design strategies

✍ Scribed by Alicia Esparza; Juan C. Agüero; Cristian R. Rojas; Boris I. Godoy

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
442 KB
Volume
47
Category
Article
ISSN
0005-1098

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✦ Synopsis

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.

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