A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes
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Teo, Kok Lay
Teo, Kok Lay
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Yin, Y. and Shi, P. and Liu, F. and Teo, K.L. and Teo, K.L. 2015. A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes. Information Sciences. 292: pp. 198-213.
In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. Furthermore, the error filtering system is stochastically stable. With reference to an H1 performance index and a new performance index, sufficient conditions to ensure the existence of a fuzzy robust fault detection filter are derived. Simulation studies are carried out, showing that the proposed fuzzy robust FD filter can rapidly detect the faults correctly.
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