Fuzzy H FIR Filtering for T–S Fuzzy Systems with Quantization and Packet Dropout

Chang Joo Lee, Myo Taeg Lim

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper proposes a new fuzzy H finite impulse response (FIR) filter with quantization and packet dropout for Takagi–Sugeno (T–S) fuzzy systems with external disturbance. The measurements are quantized by a logarithmic quantizer and then transmitted from the plant to the filter imperfectly due to random packet loss described by the Bernoulli random process. The proposed fuzzy H FIR filter is in the form of fuzzy-basis-independent linear matrix inequalities (LMIs) that guarantee H performance. Two simulation examples are given to illustrate the effectiveness and robustness of the proposed fuzzy H FIR filter.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalInternational Journal of Control, Automation and Systems
DOIs
Publication statusAccepted/In press - 2018 May 15

Keywords

  • Bernoulli random process
  • finite impulse response (FIR) structure
  • H filtering
  • logarithmic quantizer
  • packet dropout
  • quantization
  • Takagi–Sugeno (T–S) fuzzy systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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