Decentralized H fuzzy filter for nonlinear large-scale sampled-data systems with uncertain interconnections

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

6 Citations (Scopus)


This paper proposes a decentralized H fuzzy filter technique for nonlinear large-scale interconnected systems that are based on the Takagi–Sugeno fuzzy model. The large-scale system has unknown interconnection terms that are assumed to satisfy the quadratic bounds. An error system between the nonlinear large-scale system and the decentralized filter is constructed. By using the fuzzy Lyapunov technique, sufficient conditions are proposed for both showing asymptotic stability and guaranteeing H fuzzy filter performance. These sufficient conditions are derived in terms of linear matrix inequalities. Finally, simulation examples are given to demonstrate the effectiveness of the proposed technique.

Original languageEnglish
Pages (from-to)145-162
Number of pages18
JournalFuzzy Sets and Systems
Publication statusPublished - 2018 Aug 1


All Science Journal Classification (ASJC) codes

  • Logic
  • Artificial Intelligence

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