dc.creator | Anderson, Alejandro | es |
dc.creator | García Martín, Javier | es |
dc.creator | Bouraqadi, Noury | es |
dc.creator | Etienne, Lucien | es |
dc.creator | Fabresse, Luc | es |
dc.creator | Langueh, Kokou A.A. | es |
dc.creator | Lozenguez, Guillaume | es |
dc.creator | Rajaoarisoa, Lala H. | es |
dc.creator | Maestre Torreblanca, José María | es |
dc.creator | Duviella, Éric | es |
dc.date.accessioned | 2023-04-28T10:54:23Z | |
dc.date.available | 2023-04-28T10:54:23Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Anderson, A., García Martín, J., Bouraqadi, N., Etienne, L., Fabresse, L., Langueh, K.A.A.,...,Duviella, É. (2022). Map Meshing Impact on the Efficiency of Nonlinear Set-based Model Predictive Control for Water Quality Assessment. En 2nd IFAC Workshop on Control Methods for Water Resource Systems, CMWRS 2022, IFAC-PapersOnLine, 55 (33) (105-110). | |
dc.identifier.issn | 2405-8963 | es |
dc.identifier.uri | https://hdl.handle.net/11441/144885 | |
dc.description | This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) | es |
dc.description.abstract | Unmanned Surface Vehicles (USVs) are used to collect data of physicochemical parameters used to determine the degradation of freshwater resources. An optimal strategy based on a Nonlinear set-based Model Predictive Control (NMPC) is designed to improve the control of the USVs. This work offers a theoretical novel formulation of NMPC and explains the interest of set-based NMPC. The influence of meshing the map of the area of interest is then studied and it is finally demonstrated that complex trajectories, i.e. spiral or u-turn or even exploring in small areas can be made easy from the control point of view by using hexagonal set-based instead of square NMPCs. | es |
dc.format | application/pdf | es |
dc.format.extent | 6 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | 2nd IFAC Workshop on Control Methods for Water Resource Systems, CMWRS 2022, IFAC-PapersOnLine, 55 (33) (2022), pp. 105-110. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Nonlinear MPC | es |
dc.subject | Unmanned Vehicles | es |
dc.subject | Environmental Missions | es |
dc.subject | Water Quality Assessment | es |
dc.title | Map Meshing Impact on the Efficiency of Nonlinear Set-based Model Predictive Control for Water Quality Assessment | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | 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.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2405896322026404 | es |
dc.identifier.doi | 10.1016/j.ifacol.2022.11.017 | es |
dc.contributor.group | Universidad de Sevilla. TEP116: Automática y Robótica Industrial | es |
dc.publication.initialPage | 105 | es |
dc.publication.endPage | 110 | es |
dc.eventtitle | 2nd IFAC Workshop on Control Methods for Water Resource Systems, CMWRS 2022, IFAC-PapersOnLine, 55 (33) | es |
dc.eventinstitution | Milán | es |