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… Click to show full 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) 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.
Keywords:
premise variables;
adaptive fault;
fuzzy systems;
fault estimation
Journal Title: Advances in Difference Equations
Year Published: 2018
Link to full text (if available)
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Journal Title: Advances in Difference Equations
Year Published: 2018
Link to full text (if available)
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recommendations!