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Asymptotic statistical analysis for model-based control design strategies

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Asymptotic statistical analysis for model-based control design strategies

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Esparza Peidro, A.; Agüero, JC.; Rojas, CR.; Godoy, BI. (2011). Asymptotic statistical analysis for model-based control design strategies. Automatica. 47(5):1041-1046. doi:10.1016/j.automatica.2011.01.058

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Title: Asymptotic statistical analysis for model-based control design strategies
Author: Esparza Peidro, Alicia Agüero, Juan C. Rojas, Cristian R. Godoy, Boris I.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
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 ...[+]
Subjects: Maximum likelihood , Model-based control , System identification , Asymptotic statistical analysis , Closed-loop performance , Control design , Controller designs , Fundamental limitations , Numerical example , Statistical behavior , System identifications , Virtual Reference Feedback Tuning , Design , Directional patterns (antenna) , Estimation , Feedback , Identification (control systems) , Maximum likelihood estimation , Controllers
Copyrigths: Cerrado
Source:
Automatica. (issn: 0005-1098 )
DOI: 10.1016/j.automatica.2011.01.058
Publisher:
International Federation of Automatic Control
Publisher version: http://dx.doi.org/10.1016/j.automatica.2011.01.058
Project ID:
GV/PRE/2008/116
Thanks:
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 ...[+]
Type: Artículo

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