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Uncertain Fuzzy Systems

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 347))

Abstract

In the last decade, TS fuzzy systems have been studied by many researchers with a number of successful applications. The TS fuzzy system has been shown to be an universal approximator of nonlinear dynamic systems; e.g., [49, 51]. The TS fuzzy system is described by fuzzy IF-THEN rules of the following form:

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Authors and Affiliations

  1. Department of Electronic and Telecommucation Engineering, King Mongkut’s University of Technology Thonburi, 91 Prachautits Rd., 10140, Bangkok, Thailand

    Wudhichai Assawinchaichote

  2. Department of Electronical and Computer Engineering, The University of Auckland, 92019, Auckland, New Zealand

    Sing Kiong Nguang

  3. Faculty Technology Studies Department of Mathematics, University Glamorgan, CF37 1DL, Pontypridd, M. Glam., United Kingdom

    Peng Shi

Authors
  1. Wudhichai Assawinchaichote
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  2. Sing Kiong Nguang
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  3. Peng Shi
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© 2006 Springer

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Assawinchaichote, W., Nguang, S.K., Shi, P. (2006). Uncertain Fuzzy Systems. In: Fuzzy Control and Filter Design for Uncertain Fuzzy Systems. Lecture Notes in Control and Information Sciences, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37012-3_2

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  • DOI: https://doi.org/10.1007/978-3-540-37012-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37011-6

  • Online ISBN: 978-3-540-37012-3

  • eBook Packages: EngineeringEngineering (R0)

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