Design of robust nonfragile fault detection filter for uncertain dynamic systems with quantization

Jun Xiong, Xiao Heng Chang*, Xiaojian Yi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

This paper investigates the fault detection problem for uncertain linear systems with respect to signal quantization. The measurement output transmitted via the digital communication link is considered to be quantized by a dynamic quantizer. Moreover, different from most of existing results on fault detection where the residual generator is assumed to be realized perfectly as the designed one, this study takes the inaccuracy and uncertainty on the implementation of residual generator into account. This paper pays much attention to designing a fault detection filter with quantization as the residual generator and formulates the design problem into the H framework. The objective is to guarantee the asymptotical stability and prescribed performance of the residual system. The S-procedure and a two-step approach are adopted to handle the effects of quantization and uncertainties on residual system. Corresponding design conditions of a robust fault detection filter and a robust nonfragile ones are derived in the form of linear matrix inequalities. Finally, the efficiency of the theoretical results is illustrated by the numerical example.

Original languageEnglish
Pages (from-to)774-788
Number of pages15
JournalApplied Mathematics and Computation
Volume338
DOIs
Publication statusPublished - 1 Dec 2018

Keywords

  • Fault detection
  • Linear matrix inequalities
  • Nonfragile residual generator
  • Output quantization

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