In this paper, an approach to the fault detection of mix-valued Probabilistic Boolean Networks (PBN) is proposed. The key of the design is an observer, which is able to estimate the probabilistic distribution of the state vector of the PBN. Moreover, a way for converting stochastic automata into PBN is given, in order to widen the application areas. The fault detection scheme is evaluated with technical and biological examples.
['Thomas Leifeld', 'Zhihua Zhang', 'Ping Zhang']
Fault detection for probabilistic boolean networks