Analysis and synthesis for interval type-2 fuzzy-model-based systems

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in...

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Detalles Bibliográficos
Autores principales: Li, Hongyi, Wu, Ligang, Lam, Hak-Keung, Gao, Yabin
Lenguaje:eng
Publicado: Springer 2016
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-981-10-0593-0
http://cds.cern.ch/record/2137873
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author Li, Hongyi
Wu, Ligang
Lam, Hak-Keung
Gao, Yabin
author_facet Li, Hongyi
Wu, Ligang
Lam, Hak-Keung
Gao, Yabin
author_sort Li, Hongyi
collection CERN
description This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
record_format invenio
spelling cern-21378732021-04-21T19:45:58Zdoi:10.1007/978-981-10-0593-0http://cds.cern.ch/record/2137873engLi, HongyiWu, LigangLam, Hak-KeungGao, YabinAnalysis and synthesis for interval type-2 fuzzy-model-based systemsEngineeringThis book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.Springeroai:cds.cern.ch:21378732016
spellingShingle Engineering
Li, Hongyi
Wu, Ligang
Lam, Hak-Keung
Gao, Yabin
Analysis and synthesis for interval type-2 fuzzy-model-based systems
title Analysis and synthesis for interval type-2 fuzzy-model-based systems
title_full Analysis and synthesis for interval type-2 fuzzy-model-based systems
title_fullStr Analysis and synthesis for interval type-2 fuzzy-model-based systems
title_full_unstemmed Analysis and synthesis for interval type-2 fuzzy-model-based systems
title_short Analysis and synthesis for interval type-2 fuzzy-model-based systems
title_sort analysis and synthesis for interval type-2 fuzzy-model-based systems
topic Engineering
url https://dx.doi.org/10.1007/978-981-10-0593-0
http://cds.cern.ch/record/2137873
work_keys_str_mv AT lihongyi analysisandsynthesisforintervaltype2fuzzymodelbasedsystems
AT wuligang analysisandsynthesisforintervaltype2fuzzymodelbasedsystems
AT lamhakkeung analysisandsynthesisforintervaltype2fuzzymodelbasedsystems
AT gaoyabin analysisandsynthesisforintervaltype2fuzzymodelbasedsystems

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