Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/101272
DC Field | Value | Language |
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dc.contributor.author | Mendes, Jérôme | - |
dc.contributor.author | Maia, Ricardo | - |
dc.contributor.author | Araújo, Rui | - |
dc.contributor.author | Souza, Francisco A. A. | - |
dc.date.accessioned | 2022-08-19T08:47:05Z | - |
dc.date.available | 2022-08-19T08:47:05Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 2076-3417 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/101272 | - |
dc.description.abstract | The paper proposes a methodology to online self-evolve direct fuzzy logic controllers (FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self-designs the controller, where fuzzy control rules can be added or removed considering a predefined criterion. The proposed methodology aims to reach a control structure easily interpretable by human operators. The FLC is defined by univariate fuzzy control rules, where each input variable is represented by a set of fuzzy control rules, improving the interpretability ability of the learned controller. The proposed self-evolving methodology, when the process is under control (online stage), adds fuzzy control rules on the current FLC using a criterion based on the incremental estimated control error obtained using the system’s inverse function and deletes fuzzy control rules using a criterion that defines “less active” and “less informative” control rules. From the results on a nonlinear continuously stirred tank reactor (CSTR) plant, the proposed methodology shows the capability to online self-design the FLC by adding and removing fuzzy control rules in order to successfully control the CSTR plant. | pt |
dc.language.iso | eng | pt |
dc.relation | FCT - grant SFRH/BD/44644/2008 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | evolving design | pt |
dc.subject | fuzzy controller | pt |
dc.subject | univariate fuzzy rules | pt |
dc.subject | CSTR plant | pt |
dc.title | Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules | pt |
dc.type | article | - |
degois.publication.firstPage | 5836 | pt |
degois.publication.issue | 17 | pt |
degois.publication.title | Applied Sciences (Switzerland) | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.3390/app10175836 | pt |
degois.publication.volume | 10 | pt |
dc.date.embargo | 2020-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.orcid | 0000-0003-4616-3473 | - |
crisitem.author.orcid | 0000-0002-6803-9935 | - |
crisitem.author.orcid | 0000-0002-1007-8675 | - |
Appears in Collections: | I&D ISR - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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Selfevolving-fuzzy-controller-composed-of-univariate-fuzzy-control-rulesApplied-Sciences-Switzerland.pdf | 1.07 MB | Adobe PDF | View/Open |
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