Publication

Dynamic threshold computation in fault detection for discrete-time linear systems

Conference Article

Conference

Chinese Control and Decision Conference (CCDC)

Edition

30th

Pages

2241-2246

Doc link

http://dx.doi.org/10.1109/CCDC.2018.8407499

File

Download the digital copy of the doc pdf document

Authors

  • Liu, Xinyang

  • Wang, Zhenhua

  • Wang, Ye

  • Shen, Yi

Abstract

This paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two threshold computation methods for residual evaluation. First, we assume that the uncertainties are bounded in known intervals and propose a zonotope-based threshold computation method. Second, the uncertainties are assumed to be norm-bounded and then a threshold computation method using L∞ analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods.

Categories

control theory.

Scientific reference

X. Liu, Z. Wang, Y. Wang and Y. Shen. Dynamic threshold computation in fault detection for discrete-time linear systems, 30th Chinese Control and Decision Conference, 2018, Shenyang, China, pp. 2241-2246.