Esparza Peidro, A.; Agüero, JC.; Rojas, CR.; Godoy, BI. (2011). Asymptotic statistical analysis for model-based control design strategies. Automatica. 47(5):1041-1046. https://doi.org/10.1016/j.automatica.2011.01.058
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/33393
Title:
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Asymptotic statistical analysis for model-based control design strategies
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Author:
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Esparza Peidro, Alicia
Agüero, Juan C.
Rojas, Cristian R.
Godoy, Boris I.
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
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Issued date:
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Abstract:
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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 ...[+]
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. © 2011 Elsevier Ltd. All rights reserved.
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Subjects:
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Maximum likelihood
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Model-based control
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System identification
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Asymptotic statistical analysis
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Closed-loop performance
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Control design
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Controller designs
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Fundamental limitations
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Numerical example
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Statistical behavior
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System identifications
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Virtual Reference Feedback Tuning
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Design
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Directional patterns (antenna)
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Estimation
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Feedback
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Identification (control systems)
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Maximum likelihood estimation
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Controllers
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Copyrigths:
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Cerrado |
Source:
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Automatica. (issn:
0005-1098
)
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DOI:
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10.1016/j.automatica.2011.01.058
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Publisher:
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International Federation of Automatic Control
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Publisher version:
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http://dx.doi.org/10.1016/j.automatica.2011.01.058
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Project ID:
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info:eu-repo/grantAgreement/GVA//PRE%2F2008%2F116/
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Thanks:
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This work has been partially supported by the project GVPRE/2008/116 financed by Generalitat Valenciana (Spain). This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form ...[+]
This work has been partially supported by the project GVPRE/2008/116 financed by Generalitat Valenciana (Spain). This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor Guoxiang Gu under the direction of Editor Torsten Soderstrom.
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Type:
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Artículo
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