Adaptive Event-Triggered Fault Detection Scheme for Semi-Markovian Jump Systems With Output Quantization

  • Zhang, Linchuang
  • Liang, Hongjing
  • Sun, Yonghui
  • Ahn, Choon Ki
Citations

WEB OF SCIENCE

221
Citations

SCOPUS

244

초록

This paper examines the adaptive event-triggered fault detection problem of semi-Markovian jump systems (S-MJSs) with output quantization. First, we develop an adaptive event-triggered scheme for S-MJSs that is more effective than conventional event-triggered strategy for decreasing network transmission information. Meanwhile, we design a new adaptive law that can dynamically adjust the event-triggered threshold. Second, we consider output signal quantization and transmission delay in the proposed fault detection scheme. Moreover, we establish novel sufficient conditions for the stochastic stability in the proposed fault detection scheme with an H-infinity performance with the help of linear matrix inequalities (LMIs). Finally, we provide simulation results to demonstrate the usefulness of the developed theoretical results.

키워드

Adaptive event-triggered schemefault detectionoutput quantizationsemi-Markovian jump systems (S-MJSs)
제목
Adaptive Event-Triggered Fault Detection Scheme for Semi-Markovian Jump Systems With Output Quantization
저자
Zhang, LinchuangLiang, HongjingSun, YonghuiAhn, Choon Ki
DOI
10.1109/TSMC.2019.2912846
발행일
2021-04
유형
Article
저널명
IEEE Transactions on Systems, Man, and Cybernetics: Systems
51
4
페이지
2370 ~ 2381