Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 26, Issue 1, Pages 131-141Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2016.2641022
Keywords
Fault detection (FD); filtering; nonhomogeneous Markovian jump systems (MJS); Takagi-Sugeno fuzzy
Funding
- National Natural Science Foundation of China [61603417, 61573112, 61525303, U1509217]
- Australian Research Council [DP140102180, LP140100471]
- Top-Notch Young Talents Program of China
- Heilongjiang Outstanding Youth Science Fund [JC201406]
- Fok Ying Tung Education Foundation [141059]
- Self-Planned Task of State Key Laboratory of Robotics and System (HIT) [201505B]
- Foundation for Innovative Research Groups of the National Natural Science Foundation of China [61321003]
- Alexander von Humboldt Foundation of Germany
Ask authors/readers for more resources
This paper investigates the problem of the fault detection filter design for nonhomogeneous Markovian jump systems by a Takagi-Sugeno fuzzy approach. Attention is focused on the construction of a fault detection filter to ensure the estimation error dynamic stochastically stable, and the prescribed performance requirement can be satisfied. The designed fuzzy model-based fault detection filter can guarantee the sensitivity of the residual signal to faults and the robustness of the external disturbances. By using the cone complementarity linearization algorithm, the existence conditions for the design of fault detection filters are provided. Meanwhile, the error between the residual signal and the fault signal is made as small as possible. Finally, a practical application is given to illustrate the effectiveness of the proposed technique.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available