Publicação
Recursive parameter estimation algorithms
| Resumo: | Main adaptive control design approaches assume that a suitable dynamic model of the controlled process can be computed. In this way, recursive parameter estimation algorithms play can important role in tracking the time variant parameters of the process dynamic model. Thois paper describes the major algorithms used to compute the ttransfer function parameters of time varying ssssystems. The advantages and limitations of these techniques are illustrated by computing the parameters of a time varying discrete system, with known structure, under the presence of persistent and non-persistent information. |
|---|---|
| Autores principais: | Coelho, João Paulo |
| Outros Autores: | Cunha, José Boaventura; Oliveira, Paulo de Moura |
| Assunto: | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| Ano: | 2004 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173343878184960 |
|---|---|
| author | Coelho, João Paulo |
| author2 | Cunha, José Boaventura Oliveira, Paulo de Moura |
| author2_role | author author |
| author_facet | Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Coelho, João Paulo\",\"Person.identifier.orcid\":\"0000-0002-7616-1383\"},{\"Person.name\":\"Cunha, José Boaventura\"},{\"Person.name\":\"Oliveira, Paulo de Moura\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura |
| datacite.date.Accepted.fl_str_mv | 2004-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2010-11-09T15:35:12Z |
| datacite.date.embargoed.fl_str_mv | 2010-11-09T15:35:12Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| datacite.titles.title.fl_str_mv | Recursive parameter estimation algorithms |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura |
| dc.date.Accepted.fl_str_mv | 2004-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2010-11-09T15:35:12Z |
| dc.date.embargoed.fl_str_mv | 2010-11-09T15:35:12Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/2750 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| dc.title.fl_str_mv | Recursive parameter estimation algorithms |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | Main adaptive control design approaches assume that a suitable dynamic model of the controlled process can be computed. In this way, recursive parameter estimation algorithms play can important role in tracking the time variant parameters of the process dynamic model. Thois paper describes the major algorithms used to compute the ttransfer function parameters of time varying ssssystems. The advantages and limitations of these techniques are illustrated by computing the parameters of a time varying discrete system, with known structure, under the presence of persistent and non-persistent information. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/06ecfab1-b085-4cbf-b86f-33f76f6fb48d/download |
| id | ipb_6fe67b286bac1ef8bf2fb67b3d2e19ac |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/2750 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/2750 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Coelho, João Paulo Coelho, João Paulo https://www.ciencia-id.pt/D61E-A586-7D4A D61E-A586-7D4A http://orcid.org/0000-0002-7616-1383 0000-0002-7616-1383 Cunha, José Boaventura Oliveira, Paulo de Moura |
| publishDate | 2004 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engMain adaptive control design approaches assume that a suitable dynamic model of the controlled process can be computed. In this way, recursive parameter estimation algorithms play can important role in tracking the time variant parameters of the process dynamic model. Thois paper describes the major algorithms used to compute the ttransfer function parameters of time varying ssssystems. The advantages and limitations of these techniques are illustrated by computing the parameters of a time varying discrete system, with known structure, under the presence of persistent and non-persistent information.application/pdfporRecursive parameter estimation algorithmsPersonalCoelho, João PauloDSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668DSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668CoelhoJoão PauloCiência IDhttps://www.ciencia-id.ptD61E-A586-7D4AORCIDhttp://orcid.org0000-0002-7616-1383Researcher IDhttps://www.researcherid.comJ-6887-2013Scopus Author IDhttps://www.scopus.com55137039300Cunha, José BoaventuraOliveira, Paulo de MouraHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2010-11-09T15:35:12Z20042004-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/2750http://purl.org/coar/access_right/c_abf2open accessAdaptive controlModel based controlParameter estimationRecursive algorithmsRecursive least squares3067959 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/06ecfab1-b085-4cbf-b86f-33f76f6fb48d/downloadControlo 2004 - Sixth Portuguese Conference on Automatic ControlFaro – Portugal |
| spellingShingle | Recursive parameter estimation algorithms Coelho, João Paulo Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| status | SINGLETON |
| subject.fl_str_mv | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| title | Recursive parameter estimation algorithms |
| title_full | Recursive parameter estimation algorithms |
| title_fullStr | Recursive parameter estimation algorithms |
| title_full_unstemmed | Recursive parameter estimation algorithms |
| title_short | Recursive parameter estimation algorithms |
| title_sort | Recursive parameter estimation algorithms |
| topic | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| topic_facet | Adaptive control Model based control Parameter estimation Recursive algorithms Recursive least squares |
| url | http://hdl.handle.net/10198/2750 |
| visible | 1 |