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Suboptimal Recursive Methodology for Takagi-Sugeno Fuzzy Models Identification

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Fuzzy Modeling and Control: Theory and Applications

Part of the book series: Atlantis Computational Intelligence Systems ((ATLANTISCIS,volume 9))

Abstract

When there is no one mathematical model of the system it is necessary to use modeling techniques based on input–output data (López-Baldán et al. 2002). This process is critical in control systems, since both, system analysis (García-Cerezo et al. 1994; Gordillo et al. 1997; Andújar et al. 2006; Aroba et al. 2007; Al-Hadithi et al. 2007; Jiménez et al. 2009; Andújar and Barragán 2010) and controller design (Wang et al. 1996; Andújar and Bravo 2005; Andújar et al. 2009), require to obtain a model as accurate as possible.

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Acknowledgments

The authors would like to thank the Spanish Ministry of Economy and Competitiveness for its support to this work through projects DPI2010-17123 and DPI2010-21247-C02-01, the Regional Government of Andalusia (Spain) for supporting TEP-6124 project, as well as the European Union Regional Development for funding the last two projects.

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Authors and Affiliations

  1. Departamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Universidad de Huelva, Huelva, Spain

    José Manuel Andújar & Antonio Javier Barragán

  2. Center for Automation and Robotics, Universidad Politécnica de Madrid—Consejo Superior de Investigaciones Científicas (UPM—CSIC), Madrid, Spain

    Basil Mohammed Al-Hadithi, Fernando Matía & Agustín Jiménez

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  1. José Manuel Andújar
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  2. Antonio Javier Barragán
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  3. Basil Mohammed Al-Hadithi
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  4. Fernando Matía
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  5. Agustín Jiménez
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Correspondence to Antonio Javier Barragán .

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Editors and Affiliations

  1. Center for Automation and Robotics, Universidad Politécnica de Madrid— Consejo Superior de Investigaciones Científicas (UPM—CSIC), Madrid, Madrid, Spain

    Fernando Matía

  2. DPolytechnic School of Engineering, Universidad de La Laguna, La Laguna, Sta. Cruz Tenerife, Spain

    G. Nicolás Marichal

  3. Universidad de La RiojaDepartamento de Ingeniería Eléctrica, Universidad de La Rioja, La Rioja, Navarra, Spain

    Emilio Jiménez

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Andújar, J.M., Barragán, A.J., Al-Hadithi, B.M., Matía, F., Jiménez, A. (2014). Suboptimal Recursive Methodology for Takagi-Sugeno Fuzzy Models Identification. In: Matía, F., Marichal, G., Jiménez, E. (eds) Fuzzy Modeling and Control: Theory and Applications. Atlantis Computational Intelligence Systems, vol 9. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-082-9_2

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