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Robust ℌ∞ Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps

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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))

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Abstract

This chapter develops a technique for designing a robust fuzzy filter for a TS singularly perturbed fuzzy system with MJs and parametric uncertainties. The newly developed robust fuzzy filter guarantees the L2-gain from an exogenous input to an estimate error output being less than or equal to a prescribed value.

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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). Robust ℌ∞ Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps. 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_11

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  • DOI: https://doi.org/10.1007/978-3-540-37012-3_11

  • 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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