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Genetic Algorithm Based Fuzzy Sliding Mode with Application to Building Structures

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

In this paper, the design of Fuzzy Sliding Mode Control (FSMC) based on Genetic Algorithms (GAs) is studied. Using the proposed approach, a robust controller is designed for building structures under earthquake excitation. It is found that the building structure under the proposed control method could sustain in safety and stability when the system is subjected to external disturbances.

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Author information

Authors and Affiliations

  1. Technical Collage of Marand (Civil Eng. Group), University of Tabriz, Iran

    Kambiz Falsafian

  2. Young Researchers Club, Islamic Azad University, Tehran, Iran

    Mahdi Jalili-Kharaajoo

Authors
  1. Kambiz Falsafian
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  2. Mahdi Jalili-Kharaajoo
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Falsafian, K., Jalili-Kharaajoo, M. (2004). Genetic Algorithm Based Fuzzy Sliding Mode with Application to Building Structures. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_149

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_149

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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