Adaptive fault estimation for T-S fuzzy systems with unmeasurable premise variables

Adaptive fault estimation for T-S fuzzy systems with unmeasurable premise variables

Abstract 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) m...

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Bibliographic Details
Main Authors: Shaokun Liu, Xiaojian Li, Heng Wang, Jingjing Yan
Format: Article
Language:English
Published: SpringerOpen 2018-03-01
Series:Advances in Difference Equations
Subjects:
Takagi–Sugeno (T-S) fuzzy systems
Fault estimation
Unmeasurable premise variables
Online Access:http://link.springer.com/article/10.1186/s13662-018-1571-5

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http://link.springer.com/article/10.1186/s13662-018-1571-5

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