Networked fault detection with random communication delays and packet losses

  • Authors:
  • Xiao He;Zidong Wang;Donghua Zhou

  • Affiliations:
  • Department of Automation, Tsinghua University, Beijing, P.R. China;Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, United Kingdom;Department of Automation, Tsinghua University, Beijing, P.R. China

  • Venue:
  • International Journal of Systems Science - Networked Control Systems and Wireless Sensor Networks - Theories and Applications
  • Year:
  • 2008

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Abstract

This article deals with the fault detection problem for a class of discrete-time networked systems with multiple state delays and unknown input. Two kinds of incomplete measurements, namely measurements with random communication delays and measurements with stochastic packet losses, are simultaneously considered. By properly augmenting the states of the original system and the fault detection filter, the fault detection filter design problem can be formulated as an H∞ filtering problem. Attention is focused on the design of a fault detection filter such that, for all unknown input and incomplete measurements, the error between residual and weighted fault is made as small as possible. A sufficient condition for the existence of the desired fault detection filter is established in terms of a linear matrix inequality. A numerical example is provided to illustrate the effectiveness and applicability of the proposed techniques.