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  • 标题:Adaptive fault estimation for T-S fuzzy systems with unmeasurable premise variables
  • 本地全文:下载
  • 作者:Shaokun Liu ; Xiaojian Li ; Heng Wang
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2018
  • 卷号:2018
  • 期号:1
  • 页码:105
  • DOI:10.1186/s13662-018-1571-5
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper is concerned with the fault estimation problem for a class of Takagi–Sugeno (T-S) fuzzy systems with actuator faults and sensor disturbances. Premise variables of the T-S fuzzy systems are assumed to be unmeasurable such that conventional parallel distributed compensation (PDC) methods are not applicable. A modified adaptive observer is designed to estimate states and fault parameters simultaneously. Finally, a simulation example is presented which shows the effectiveness of the proposed method.
  • 关键词:Takagi–Sugeno (T-S) fuzzy systems ; Fault estimation ; Unmeasurable premise variables
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