A recursive LMI-based algorithm for efficient vertex reduction in LPV systems
This paper proposes a new algorithm to reduce the number of gains of a polytopic LPV controller considering generic tuples of vertices, for which a common controller gain can be used. The use of Frobenius norm and the inclusion of the input matrix in the LMIs perturbation matrix allows decreasing th...
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/362454 |
| Acesso em linha: | https://hdl.handle.net/2117/362454 https://dx.doi.org/10.1080/00207179.2021.1973682 |
| Access Level: | acceso abierto |
| Palavra-chave: | System theory Mathematical models Predictive control Linear parameter varying (LPV) Linear matrix inequalities (LMIs) Vertex reduction State-feedback control Sistemes, Teoria de Models matemàtics Control predictiu Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
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A recursive LMI-based algorithm for efficient vertex reduction in LPV systemsSanjuan Gómez, AdriánRotondo, Damiano|||0000-0002-8855-5582Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632XSarrate Estruch, Ramon|||0000-0002-9979-5899System theoryMathematical modelsPredictive controlLinear parameter varying (LPV)Linear matrix inequalities (LMIs)Vertex reductionState-feedback controlSistemes, Teoria deModels matemàticsControl predictiuÀrees temàtiques de la UPC::Informàtica::Automàtica i controlThis paper proposes a new algorithm to reduce the number of gains of a polytopic LPV controller considering generic tuples of vertices, for which a common controller gain can be used. The use of Frobenius norm and the inclusion of the input matrix in the LMIs perturbation matrix allows decreasing the conservativeness to select vertices which are combinable, with respect to a previous approach based on Gershgorin circles. A combinability metric that can be applied to an arbitrary partition of the set of vertices is defined. Then, a recursive algorithm finds a lesser-fragmented combinable partition at each iteration by combining together two elements of a partition. The algorithm aims at finding combinable partitions with minimal cardinality in fewer attempts, always preserving the original control performance specifications. The proposed method is validated using numerical examples, a twin rotor MIMO system and a two-link robotic manipulator.This work has been co-financed by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SCAV (ref. MINECO DPI2017-88403-R), by the European Regional Development Fund of the European Union in the framework of the ERDF Operational Program of Catalonia 2014-2020 (ref. 001-P-001643 Looming Factory) and by the DGR of Generalitat de Catalunya (SAC group ref. 2017/SGR/482).Peer Reviewed20212021-01-0120222022-02-16journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/362454https://dx.doi.org/10.1080/00207179.2021.1973682reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3624542026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| title |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| spellingShingle |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems Sanjuan Gómez, Adrián System theory Mathematical models Predictive control Linear parameter varying (LPV) Linear matrix inequalities (LMIs) Vertex reduction State-feedback control Sistemes, Teoria de Models matemàtics Control predictiu Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| title_short |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| title_full |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| title_fullStr |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| title_full_unstemmed |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| title_sort |
A recursive LMI-based algorithm for efficient vertex reduction in LPV systems |
| dc.creator.none.fl_str_mv |
Sanjuan Gómez, Adrián Rotondo, Damiano|||0000-0002-8855-5582 Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X Sarrate Estruch, Ramon|||0000-0002-9979-5899 |
| author |
Sanjuan Gómez, Adrián |
| author_facet |
Sanjuan Gómez, Adrián Rotondo, Damiano|||0000-0002-8855-5582 Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X Sarrate Estruch, Ramon|||0000-0002-9979-5899 |
| author_role |
author |
| author2 |
Rotondo, Damiano|||0000-0002-8855-5582 Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X Sarrate Estruch, Ramon|||0000-0002-9979-5899 |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
System theory Mathematical models Predictive control Linear parameter varying (LPV) Linear matrix inequalities (LMIs) Vertex reduction State-feedback control Sistemes, Teoria de Models matemàtics Control predictiu Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| topic |
System theory Mathematical models Predictive control Linear parameter varying (LPV) Linear matrix inequalities (LMIs) Vertex reduction State-feedback control Sistemes, Teoria de Models matemàtics Control predictiu Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| description |
This paper proposes a new algorithm to reduce the number of gains of a polytopic LPV controller considering generic tuples of vertices, for which a common controller gain can be used. The use of Frobenius norm and the inclusion of the input matrix in the LMIs perturbation matrix allows decreasing the conservativeness to select vertices which are combinable, with respect to a previous approach based on Gershgorin circles. A combinability metric that can be applied to an arbitrary partition of the set of vertices is defined. Then, a recursive algorithm finds a lesser-fragmented combinable partition at each iteration by combining together two elements of a partition. The algorithm aims at finding combinable partitions with minimal cardinality in fewer attempts, always preserving the original control performance specifications. The proposed method is validated using numerical examples, a twin rotor MIMO system and a two-link robotic manipulator. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021-01-01 2022 2022-02-16 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/362454 https://dx.doi.org/10.1080/00207179.2021.1973682 |
| url |
https://hdl.handle.net/2117/362454 https://dx.doi.org/10.1080/00207179.2021.1973682 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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15,300719 |