期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 17, 期 1, 页码 233-242出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2008.2010867
关键词
Fault detection; filter design; H-infinity performance; stochastic systems; Takagi-Sugeno (T-S) fuzzy systems
资金
- National Natural Science Foundation of China [60804002]
- CityU [7002208]
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.
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