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On Designing a Reduced-Order Fuzzy Observer

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

In this paper, a method for designing reduced-order fuzzy observers for systems expressed in Takagi-Sugeno fuzzy model is proposed.

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References

  1. Jun, X., Sun, Z.Q.: Analysis and design of fuzzy controller and fuzzy observer. IEEE Trans.on Fuzzy Systems 6(1), 41–51 (1998)

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  2. Palm, R.: Sliding mode observer for a T-S fuzzy system. IEEE Trans.on Fuzzy Systems, 665–670 (2000)

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  3. Fayaz, A.: On the Sugeno- type fuzzy observers. In: IEEE conference, pp. 4828–4833 (1999)

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  4. Palm, R., Bergesten, P.: Thau-Lunenberger observer for a T-S fuzzy system. IEEE Trans.on Fuzzy Systems, 671–676 (2000)

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Author information

Authors and Affiliations

  1. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering, University of Tehran, P.O. Box 14395/515, Tehran, Iran

    Behzad Moshiri, Farhad Besharati, Abdrreza Dehghani Tafti & Ali Akhavan Bitaghsir

  2. Science & Research Branch, Islamic Azad University, Tehran, Iran

    Behzad Moshiri, Farhad Besharati, Abdrreza Dehghani Tafti & Ali Akhavan Bitaghsir

Authors
  1. Behzad Moshiri
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  2. Farhad Besharati
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  3. Abdrreza Dehghani Tafti
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  4. Ali Akhavan Bitaghsir
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

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© 2004 Springer-Verlag Berlin Heidelberg

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Moshiri, B., Besharati, F., Tafti, A.D., Bitaghsir, A.A. (2004). On Designing a Reduced-Order Fuzzy Observer. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_103

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_103

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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