Sampling rate optimization for Fault diagnosis of distributed networked control systems

In this paper, the problem of Fault diagnosis is addressed in a particular settings: Autonomous control systems (ACS) sharing a single communication channel (WIFI for example) are considered. The problem is to optimize the sampling rate for the exchange of information between the ACS and the FDI systems in order to have efficient fault diagnosis. In this setting, reducing the number of times that the FDI systems is activated implies a reduction in transmissions and thus a reduction in energy expenditures. The aim is to generate residual signals which, in the fault free case, are supposed to be identical to zero.