In this paper, a method of fault diagnosis (FD) and fault-tolerant tracking control (FTTC) is investigated for non-Gaussian\nnonlinear stochastic distribution control (SDC) systems with missing measurements.Thephenomenon of the randomly occurring\nmissing measurements is described as a Bernoulli process. The missing measurements during transmission are compensated with\nthe data successfully transmitted at the previous moment. The residual signal of the fault diagnosis observer is different from that\nof the general system. Using the integral of the error of the output probability density function (PDF) as the driving information,\nthe system state and fault can be estimated by an adaptive fault diagnosis observer. Then, a novel fault-tolerant tracking controller\nis designed based on a discrete-time 2-order sliding mode to make the post-fault PDF still track the target. Two simulated\nexamples are included to illustrate the effectiveness of the theoretical results.
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