- -

Asymptotic statistical analysis for model-based control design strategies

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Asymptotic statistical analysis for model-based control design strategies

Show simple item record

Files in this item

dc.contributor.author Esparza Peidro, Alicia es_ES
dc.contributor.author Agüero, Juan C. es_ES
dc.contributor.author Rojas, Cristian R. es_ES
dc.contributor.author Godoy, Boris I. es_ES
dc.date.accessioned 2013-11-08T18:30:00Z
dc.date.issued 2011
dc.identifier.issn 0005-1098
dc.identifier.uri http://hdl.handle.net/10251/33393
dc.description.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 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. es_ES
dc.description.sponsorship 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. en_EN
dc.format.extent 6 es_ES
dc.language Inglés es_ES
dc.publisher International Federation of Automatic Control es_ES
dc.relation GV/PRE/2008/116
dc.relation.ispartof Automatica es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Maximum likelihood es_ES
dc.subject Model-based control es_ES
dc.subject System identification es_ES
dc.subject Asymptotic statistical analysis es_ES
dc.subject Closed-loop performance es_ES
dc.subject Control design es_ES
dc.subject Controller designs es_ES
dc.subject Fundamental limitations es_ES
dc.subject Numerical example es_ES
dc.subject Statistical behavior es_ES
dc.subject System identifications es_ES
dc.subject Virtual Reference Feedback Tuning es_ES
dc.subject Design es_ES
dc.subject Directional patterns (antenna) es_ES
dc.subject Estimation es_ES
dc.subject Feedback es_ES
dc.subject Identification (control systems) es_ES
dc.subject Maximum likelihood estimation es_ES
dc.subject Controllers es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Asymptotic statistical analysis for model-based control design strategies es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.automatica.2011.01.058
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.automatica.2011.01.058 es_ES
dc.description.upvformatpinicio 1041 es_ES
dc.description.upvformatpfin 1046 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 47 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 41400
dc.contributor.funder Generalitat Valenciana


This item appears in the following Collection(s)

Show simple item record