On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.fss.2017.12.004 http://hdl.handle.net/11449/175693 |
Resumo: | This manuscript proposes a local H∞ switched controller design for a class of uncertain nonlinear plants described by Takagi–Sugeno (T–S) fuzzy models with unknown membership functions. The control design requires only the lower and upper bounds of the system nonlinearities and of the system linear parameters, which can depend on uncertain parameters. The switched control law chooses a state-feedback controller gain, which belongs to a given set of gains, that minimizes the time derivative of a quadratic Lyapunov function. This procedure eliminates the necessity of finding the membership function expressions to implement the control law, guarantees an H∞ performance and ensures that the state trajectory remains within a region in which the T–S fuzzy model is valid. Due to the H∞ control design, that frequently results in very large control inputs, it is considered that the switched control law is subject to actuator saturation. Finally, two examples are presented. The first example studies the control of a chaotic Lorenz system. It shows that, for disturbances with large magnitude, the proposed procedures provided better results than the obtained with another recent method found in the literature, that considers full access to the membership functions. In the second example, a practical implementation of an active nonlinear suspension control system, considering an uncertain bounded mass and a fault in the actuator, confirms the effectiveness of the proposed approach. |
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Repositório Institucional da UNESP |
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On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functionsControl of uncertain nonlinear systemsControl signal saturationH∞ controlLinear matrix inequality (LMI)Local stabilitySwitched controlTakagi–Sugeno (T–S) fuzzy modelThis manuscript proposes a local H∞ switched controller design for a class of uncertain nonlinear plants described by Takagi–Sugeno (T–S) fuzzy models with unknown membership functions. The control design requires only the lower and upper bounds of the system nonlinearities and of the system linear parameters, which can depend on uncertain parameters. The switched control law chooses a state-feedback controller gain, which belongs to a given set of gains, that minimizes the time derivative of a quadratic Lyapunov function. This procedure eliminates the necessity of finding the membership function expressions to implement the control law, guarantees an H∞ performance and ensures that the state trajectory remains within a region in which the T–S fuzzy model is valid. Due to the H∞ control design, that frequently results in very large control inputs, it is considered that the switched control law is subject to actuator saturation. Finally, two examples are presented. The first example studies the control of a chaotic Lorenz system. It shows that, for disturbances with large magnitude, the proposed procedures provided better results than the obtained with another recent method found in the literature, that considers full access to the membership functions. In the second example, a practical implementation of an active nonlinear suspension control system, considering an uncertain bounded mass and a fault in the actuator, confirms the effectiveness of the proposed approach.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)IFMS – Federal Institute of Education Science and Technology of Mato Grosso do Sul, Campus of Três Lagoas, 79.641-162São Paulo State University (UNESP) Department of Electrical Engineering, Campus of Ilha SolteiraIFPR – Federal Institute of Education Science and Technology of Paraná, Campus of Jacarezinho, 86.400-000IFTO – Federal Institute of Education Science and Technology of Tocantins Department of Mathematics and Natural Sciences, Campus of Palmas, 77.021-090São Paulo State University (UNESP) Department of Electrical Engineering, Campus of Ilha SolteiraFAPESP: 2011/17610-0Science and Technology of Mato Grosso do SulUniversidade Estadual Paulista (Unesp)Science and Technology of ParanáScience and Technology of Tocantinsde Oliveira, Diogo Ramalho [UNESP]Teixeira, Marcelo Carvalho Minhoto [UNESP]Alves, Uiliam Nelson Lendzion Tomazde Souza, Wallysonn AlvesAssunção, Edvaldo [UNESP]Cardim, Rodrigo [UNESP]2018-12-11T17:17:06Z2018-12-11T17:17:06Z2018-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-26application/pdfhttp://dx.doi.org/10.1016/j.fss.2017.12.004Fuzzy Sets and Systems, v. 344, p. 1-26.0165-0114http://hdl.handle.net/11449/17569310.1016/j.fss.2017.12.0042-s2.0-850394241642-s2.0-85039424164.pdf887996458277884050620873805714620000-0002-1072-3814Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFuzzy Sets and Systems1,138info:eu-repo/semantics/openAccess2024-07-04T19:05:44Zoai:repositorio.unesp.br:11449/175693Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:06:59.653822Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
title |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
spellingShingle |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions de Oliveira, Diogo Ramalho [UNESP] Control of uncertain nonlinear systems Control signal saturation H∞ control Linear matrix inequality (LMI) Local stability Switched control Takagi–Sugeno (T–S) fuzzy model |
title_short |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
title_full |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
title_fullStr |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
title_full_unstemmed |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
title_sort |
On local H∞ switched controller design for uncertain T–S fuzzy systems subject to actuator saturation with unknown membership functions |
author |
de Oliveira, Diogo Ramalho [UNESP] |
author_facet |
de Oliveira, Diogo Ramalho [UNESP] Teixeira, Marcelo Carvalho Minhoto [UNESP] Alves, Uiliam Nelson Lendzion Tomaz de Souza, Wallysonn Alves Assunção, Edvaldo [UNESP] Cardim, Rodrigo [UNESP] |
author_role |
author |
author2 |
Teixeira, Marcelo Carvalho Minhoto [UNESP] Alves, Uiliam Nelson Lendzion Tomaz de Souza, Wallysonn Alves Assunção, Edvaldo [UNESP] Cardim, Rodrigo [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Science and Technology of Mato Grosso do Sul Universidade Estadual Paulista (Unesp) Science and Technology of Paraná Science and Technology of Tocantins |
dc.contributor.author.fl_str_mv |
de Oliveira, Diogo Ramalho [UNESP] Teixeira, Marcelo Carvalho Minhoto [UNESP] Alves, Uiliam Nelson Lendzion Tomaz de Souza, Wallysonn Alves Assunção, Edvaldo [UNESP] Cardim, Rodrigo [UNESP] |
dc.subject.por.fl_str_mv |
Control of uncertain nonlinear systems Control signal saturation H∞ control Linear matrix inequality (LMI) Local stability Switched control Takagi–Sugeno (T–S) fuzzy model |
topic |
Control of uncertain nonlinear systems Control signal saturation H∞ control Linear matrix inequality (LMI) Local stability Switched control Takagi–Sugeno (T–S) fuzzy model |
description |
This manuscript proposes a local H∞ switched controller design for a class of uncertain nonlinear plants described by Takagi–Sugeno (T–S) fuzzy models with unknown membership functions. The control design requires only the lower and upper bounds of the system nonlinearities and of the system linear parameters, which can depend on uncertain parameters. The switched control law chooses a state-feedback controller gain, which belongs to a given set of gains, that minimizes the time derivative of a quadratic Lyapunov function. This procedure eliminates the necessity of finding the membership function expressions to implement the control law, guarantees an H∞ performance and ensures that the state trajectory remains within a region in which the T–S fuzzy model is valid. Due to the H∞ control design, that frequently results in very large control inputs, it is considered that the switched control law is subject to actuator saturation. Finally, two examples are presented. The first example studies the control of a chaotic Lorenz system. It shows that, for disturbances with large magnitude, the proposed procedures provided better results than the obtained with another recent method found in the literature, that considers full access to the membership functions. In the second example, a practical implementation of an active nonlinear suspension control system, considering an uncertain bounded mass and a fault in the actuator, confirms the effectiveness of the proposed approach. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:17:06Z 2018-12-11T17:17:06Z 2018-08-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.fss.2017.12.004 Fuzzy Sets and Systems, v. 344, p. 1-26. 0165-0114 http://hdl.handle.net/11449/175693 10.1016/j.fss.2017.12.004 2-s2.0-85039424164 2-s2.0-85039424164.pdf 8879964582778840 5062087380571462 0000-0002-1072-3814 |
url |
http://dx.doi.org/10.1016/j.fss.2017.12.004 http://hdl.handle.net/11449/175693 |
identifier_str_mv |
Fuzzy Sets and Systems, v. 344, p. 1-26. 0165-0114 10.1016/j.fss.2017.12.004 2-s2.0-85039424164 2-s2.0-85039424164.pdf 8879964582778840 5062087380571462 0000-0002-1072-3814 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Fuzzy Sets and Systems 1,138 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-26 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128318143201280 |