title: Fault detection and diagnosis for singular stochastic systems via B-spline expansions.
abstract: This paper deals with the problem of fault detection and diagnosis (FDD) for singular stochastic systems. The outputs of singular stochastic systems are described by probability density functions (PDFs) based on square root B-spline expansions. Then, two non-linear observers are designed for the FDD. The conditions of stability of the correlative error estimation systems are given by using linear matrix inequalities (LMIs). Finally, the simulation results are presented to indicate that the approach can detect faults and estimate the size of faults.
authors.affiliation: Shanghai University, China. huzhuohuan@hotmail.com
authors.forename: Zhuohuan
authors.initials: Z
authors.lastname: Hu
authors.forename: Zhengzhi
authors.initials: Z
authors.lastname: Han
authors.forename: Zuohua
authors.initials: Z
authors.lastname: Tian
mesh_terms: D000465:Algorithms; D007221:Industry / Q000295:instrumentation; D016014:Linear Models; D015203:Reproducibility of Results; D013269:Stochastic Processes