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This paper develops a filtering approach for distributed fault detection of a class of interconnected input-output nonlinear systems with modeling uncertainties, disturbances and measurement noise. A distributed fault detection filtering scheme and the corresponding adaptive thresholds are designed based on filtering certain signals so that the effect of the measurement noise and disturbances is attenuated,...
This paper deals with the problem of designing a distributed fault detection and isolation methodology for nonlinear discrete-time dynamical systems that are modelled as the interconnection of several subsystems. The subsystems are allowed to overlap, thus sharing some state components. For each subsystem, a Local Fault Diagnoser is designed, based on the measured local state of the subsystem as well...
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