Decentralized H Sampled-Data Fuzzy Filter for Nonlinear Interconnected Oscillating Systems with Uncertain Interconnections

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

This paper proposes a decentralized H sampled-data fuzzy filter design for nonlinear interconnected systems composed of multiple subsystems with uncertain interconnections and variable sampling intervals. The interconnected system and the decentralized filter are modeled using Takagi-Sugeno fuzzy systems. To derive the filter-design conditions, the estimation error dynamics are modeled, and the H filter performance inequality is defined. The filter performance inequality is aimed at minimizing the ratio of the estimation error to the sum of the norm of the disturbance and oscillating system. The sufficient conditions for the filter design are derived using the Wirtinger-based integral inequality and expressed in the form of linear matrix inequalities. Finally, the performance of the proposed filter-design techniques is demonstrated through two simulation examples.

Original languageEnglish
Article number8676047
Pages (from-to)487-498
Number of pages12
JournalIEEE Transactions on Fuzzy Systems
Volume28
Issue number3
DOIs
Publication statusPublished - 2020 Mar

Bibliographical note

Publisher Copyright:
© 1993-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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