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Subspace-Based Takagi-Sugeno Modeling for Improved LMI Performance

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Subspace-Based Takagi-Sugeno Modeling for Improved LMI Performance

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Robles-Ruiz, R.; Sala, A.; Bernal Reza, MÁ.; Gonzalez-German, IT. (2017). Subspace-Based Takagi-Sugeno Modeling for Improved LMI Performance. IEEE Transactions on Fuzzy Systems. 25(4):754-767. https://doi.org/10.1109/TFUZZ.2016.2574927

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148179

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Title: Subspace-Based Takagi-Sugeno Modeling for Improved LMI Performance
Author: Robles-Ruiz, Ruben Sala, Antonio Bernal Reza, Miguel Ángel Gonzalez-German, Ivan Temoatzin
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] Given a nonlinear system, the sector-nonlinearity methodology provides a systematic way of transforming it in an equivalent Takagi-Sugeno (T-S) model. However, such transformation is not unique: conservatism of ...[+]
Subjects: Optimized production technology , Analytical models , Takagi-Sugeno model , Symmetric matrices , Eigenvalues and eigenfunctions , Systematics
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Fuzzy Systems. (issn: 1063-6706 )
DOI: 10.1109/TFUZZ.2016.2574927
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TFUZZ.2016.2574927
Project ID:
info:eu-repo/grantAgreement/MINECO//DPI2016-81002-R/ES/CONTROL AVANZADO Y APRENDIZAJE DE ROBOTS EN OPERACIONES DE TRANSPORTE/
info:eu-repo/grantAgreement/CONACyT//CB-168406/
info:eu-repo/grantAgreement/GVA//GRISOLIA%2F2014%2F006/
info:eu-repo/grantAgreement/GVA//GRISOLIAP%2F2014%2F080/
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2013%2F004/ES/DISEÑO DE SISTEMAS DE CONTROL MULTIVARIABLE (DISICOM)/
Description: "© 2017 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."
Thanks:
This work was supported by the following institutions: Project Ciencia Basica SEP-CONACYT CB-168406, Project DPI2016-81002, (Spanish government, MINECO), Grant PROMETEOII/2013/004 (Generalitat Valenciana) and, the Scholarship ...[+]
Type: Artículo

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