A SVD approach to H decentralized static output feedback fuzzy control design for nonlinear interconnected systems

Chung Shi Tseng, Yung Yue Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study introduces H decentralized static output feedback fuzzy control design for nonlinear interconnected systems via T-S fuzzy models. In general, due to the interactions among subsystems, it is difficult to design an H decentralized output feedback controller for nonlinear interconnected systems. A singular value decomposition (SVD) method is proposed in this study to solve the H decentralized static output feedback fuzzy control problem. By the proposed SVD method, the problem of H decentralized static output feedback fuzzy control design for nonlinear interconnected systems is characterized in terms of solving an eigenvalue problem (EVP). This EVP can be easily solved by using a LMI-based optimization method. Finally, simulation example is given to illustrate the design procedure and robust performance of the proposed methods.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1312-1319
Number of pages8
DOIs
Publication statusPublished - 2011 Sep 27
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: 2011 Jun 272011 Jun 30

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan
CityTaipei
Period11-06-2711-06-30

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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    Tseng, C. S., & Chen, Y. Y. (2011). A SVD approach to H decentralized static output feedback fuzzy control design for nonlinear interconnected systems. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1312-1319). [6007332] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007332