Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume 19, Issue 11, Pages 1248-1266Publisher
WILEY
DOI: 10.1002/rnc.1380
Keywords
robust fault detection filter (RFDF); Takagi-Sugeno fuzzy models; Markov jump systems; linear matrix inequalities
Funding
- National Natural Science Foundation of China [60574001]
- Program for New Century Excellent Talents in University [050485]
- Program for Innovative Research Team of Jiangnan University
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The robust fault detection filter (RFDF) design problems are studied for nonlinear stochastic time-delay Markov jump systems. By means of the Takagi-Sugeno fuzzy models, the fuzzy RFDF system and the dynamics of filtering error generator are constructed. Moreover, taking into account the sensitivity to faults while guaranteeing robustness against unknown inputs, the Ho filtering scheme is proposed to minimize the influences of the unknown inputs and another new performance index is introduced to enhance the sensitivity to faults. A sufficient condition is first established on the stochastic stability using stochastic Lyapunov-Krasovskii function. Then in terms of linear matrix inequalities techniques, the sufficient conditions on the existence of fuzzy RFDF are presented and proved. Finally, the design problem is formulated as a two-objective optimization algorithm. Simulation results illustrate that the proposed RFDF can detect the faults shortly after the occurrences. Copyright (C) 2008 John Wiley & Sons, Ltd.
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