Active fault diagnosis in closed-loop uncertain systems

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Fault diagnosis of parametric faults in closed-loop uncertain systems by using an auxiliary input vector is considered in this chapter, i.e., active fault diagnosis (AFD). The AFD is based directly on the so-called fault signature matrix, related to the YJBK (Youla, Jabr, Bongiorno, and Kucera) parameterization. The result in the chapter is an extension of the system setup applied in Niemann for AFD of closed-loop nominal systems to include model uncertain blocks. Based on this setup, the AFD approach from the nominal case is extended to handle the uncertain case. Conditions are given for exact detection and isolation of parametric faults in closed-loop uncertain systems.