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Comparison between two state estimation techniqueds for linear systems
dc.creator | Merhy, D. | es |
dc.creator | Stoica Maniu, Cristina | es |
dc.creator | Alamo, Teodoro | es |
dc.creator | Camacho, Eduardo F. | es |
dc.creator | Ben Chabane, S. | es |
dc.date.accessioned | 2020-04-07T10:33:37Z | |
dc.date.available | 2020-04-07T10:33:37Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Merhy, D., Stoica, C., Alamo, T., Camacho, E.F. y Ben Chabane, S. (2007). Comparison between two state estimation techniqueds for linear systems. En IFAC World Congress, Toulouse (Francia). | |
dc.identifier.uri | https://hdl.handle.net/11441/94963 | |
dc.description | 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France | es |
dc.description.abstract | This paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of linear systems: a classic Kalman filter and a guaranteed set-membership state estimation technique. The main goal of this paper is to analyze the advantages of these techniques and to combine them in the future in a new accurate and simple extension that handles system uncertainties and chance constraints. Two academic examples illustrate the main differences between the compared techniques. | es |
dc.format | application/pdf | es |
dc.format.extent | 5 p. | es |
dc.language.iso | eng | es |
dc.relation.ispartof | IFAC World Congress (2007). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Kalman filter | es |
dc.subject | Linear systems | es |
dc.subject | Set-membership estimation | es |
dc.title | Comparison between two state estimation techniqueds for linear systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.eventtitle | IFAC World Congress | es |
dc.eventinstitution | Toulouse (Francia) | es |
dc.identifier.sisius | 21349151 | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Ifac2017.pdf | 433.3Kb | [PDF] | Ver/ | |