4.8 Article

Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach

Journal

IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 22, Issue 2, Pages 406-419

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2013.2259497

Keywords

Decentralized fuzzy control; maximum bound of interconnection; nonlinear large-scale system; observer-based output-feedback; Takagi-Sugeno (T-S) fuzzy model

Funding

  1. National Research Foundation of Korea
  2. Korea goverment [2012014088]
  3. Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning
  4. Korea government Ministry of Knowledge Economy [20104010100590]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [20103020070070, 20124030200040] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. National Research Foundation of Korea [2012R1A2A2A01014088] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This paper presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear large-scale system, which has unknown interconnection terms, and a fuzzy controller is separately considered for measurable and nonmeasurable premise variable cases. Sufficient conditions are derived for both asymptotic stabilization and optimization of a maximum bound of interconnection and are formulated in terms of linear matrix inequalities. Finally, numerical examples are provided to verify the effectiveness of the proposed techniques.

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