Intermittent fault detection for linear discrete-time stochastic multi-agent systems

In this paper, the intermittent fault (IF) detection problem is investigated for a class of linear discrete-time stochastic multi-agent systems (MASs). By using the reduced-order observer method and introducing a sliding-time window, the truncated residuals are de-signed to detect the appearing time and disappearing time of the IF. Moreover, two sets of hypothesis tests are proposed to determine the detection and location thresholds of the IF, and the detectability of the IF is discussed in the framework of statistical analysis. Fi-nally, a simulation example is provided to validate the feasibility and effectiveness of the proposed method. (c) 2021 Elsevier Inc. All rights reserved.

Automated summary

This paper investigates the intermittent fault detection problem for a class of linear discrete-time stochastic multi-agent systems (MASs) by proposing a method using reduced-order observer and sliding-time window to detect the appearing and disappearing time of the IF. Two sets of hypothesis tests are introduced to determine the detection and location thresholds of the IF, and the detectability of the IF is discussed within the framework of statistical analysis. A simulation example is provided to validate the feasibility and effectiveness of the proposed method.