Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 17, Issue 1, Pages 233-242Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2008.2010867
Keywords
Fault detection; filter design; H-infinity performance; stochastic systems; Takagi-Sugeno (T-S) fuzzy systems
Funding
- National Natural Science Foundation of China [60804002]
- CityU [7002208]
Ask authors/readers for more resources
The paper deals with the robust fault detection problem for Takagi-Sugeno (T-S) fuzzy Ito stochastic systems. Our aim is to develop a robust fault detection approach to the T-S fuzzy systems with Brownian motion. fly using a general observer-based fault detection filter as a residual generator, the robust fault detection is formulated as a filtering problem. Attention is focused on the design of both the fuzzy-rule-independent and the fuzzy-rule-dependent fault detection filters guaranteeing a prescribed noise attenuation level in an H-infinity sense. Sufficient conditions are proposed to guarantee the mean-square asymptotic stability with an H-infinity performance for the fault detection system. The corresponding solvability conditions for the desired fuzzy-rule-independent and fuzzy-rule-dependent fault detection filters are also established. Finally, a numerical example is provided to illustrate the effectiveness of the proposed theory.
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