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Optimal Control Using Feedback Linearization for a Generalized T-S Model
Cita
Jiménez Avello, Agustín 
ORCID: https://orcid.org/0000-0003-4918-5918, Al-Hadithi, Basil M., Pérez-Oria, Juan and Alonso, Luciano
(2014).
Optimal Control Using Feedback Linearization for a Generalized T-S Model.
En:
"Artificial Intelligence Applications and Innovations. 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings".
IFIP Advances in Information and Communication Technology
(436).
Springer, Heidelberg, New York, Dordrecht, London, pp. 466-475.
ISBN 978-3-662-44654-6.
https://doi.org/10.1007/978-3-662-44654-6.
ORCID: https://orcid.org/0000-0003-4918-5918, Al-Hadithi, Basil M., Pérez-Oria, Juan and Alonso, Luciano
(2014).
Optimal Control Using Feedback Linearization for a Generalized T-S Model.
En:
"Artificial Intelligence Applications and Innovations. 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings".
IFIP Advances in Information and Communication Technology
(436).
Springer, Heidelberg, New York, Dordrecht, London, pp. 466-475.
ISBN 978-3-662-44654-6.
https://doi.org/10.1007/978-3-662-44654-6.
Descripción
| Título: | Optimal Control Using Feedback Linearization for a Generalized T-S Model |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Sección de Libro |
| Título del Libro: | Artificial Intelligence Applications and Innovations. 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings |
| Título de Revista/Publicación: | IFIP Advances in Information and Communication Technology |
| Fecha: | 2014 |
| ISBN: | 978-3-662-44654-6 |
| ISSN: | 1868-4238 |
| Nombre de la Serie: | IFIP Advances in Information and Communication Technology |
| Número: | 436 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial |
| Grupo Investigación UPM: | Intelligent Control Group |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
In this paper, a fuzzy feedback linearization is used to control nonlinear systems described by Takagi-Suengo (T-S) fuzzy systems. In this work, an optimal controller is designed using the linear quadratic regulator (LQR). The well known weighting parameters approach is applied to optimize local and global approximation and modelling capability of T-S fuzzy model to improve the choice of the performance index and minimize it. The approach used here can be considered as a generalized version of T-S method. Simulation results indicate the potential, simplicity and generality of the estimation method and the robustness of the proposed optimal LQR algorithm.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
PI2010-21247-C02-01
ARABOT
Spanish Ministry of innovation and Science
Sin especificar
Más información
| ID de Registro: | 38720 |
|---|---|
| Identificador DC: | https://oa.upm.es/38720/ |
| Identificador OAI: | oai:oa.upm.es:38720 |
| Identificador DOI: | 10.1007/978-3-662-44654-6 |
| URL Oficial: | http://link.springer.com/chapter/10.1007%2F978-3-6... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 21 Dic 2015 18:49 |
| Ultima Modificación: | 21 Dic 2015 19:07 |
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