Optimal Control Using Feedback Linearization for a Generalized T-S Model

Jiménez Avello, Agustín and Al-Hadithi, Basil M. and Pérez-Oria, Juan and Alonso, Luciano (2014). Optimal Control Using Feedback Linearization for a Generalized T-S Model. In: "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.

Description

Title: Optimal Control Using Feedback Linearization for a Generalized T-S Model
Author/s:
  • Jiménez Avello, Agustín
  • Al-Hadithi, Basil M.
  • Pérez-Oria, Juan
  • Alonso, Luciano
Item Type: Book Section
Title of Book: 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
Date: 2014
ISBN: 978-3-662-44654-6
ISSN: 1868-4238
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
UPM's Research Group: Intelligent Control Group
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPI2010-21247-C02-01ARABOTSpanish Ministry of innovation and ScienceUnspecified

More information

Item ID: 38720
DC Identifier: http://oa.upm.es/38720/
OAI Identifier: oai:oa.upm.es:38720
DOI: 10.1007/978-3-662-44654-6
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-662-44654-6_46
Deposited by: Memoria Investigacion
Deposited on: 21 Dec 2015 18:49
Last Modified: 21 Dec 2015 19:07
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