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

Linchuang Zhang; Hongjing Liang; Yonghui Sun; Choon Ki Ahn

doi:10.1109/TSMC.2019.2912846

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

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

Research output: Contribution to journal › Article › peer-review

213 Citations (Scopus)

Abstract

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_{\infty } performance with the help of linear matrix inequalities (LMIs). Finally, we provide simulation results to demonstrate the usefulness of the developed theoretical results.

Original language	English
Article number	8708964
Pages (from-to)	2370-2381
Number of pages	12
Journal	IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume	51
Issue number	4
DOIs	https://doi.org/10.1109/TSMC.2019.2912846
Publication status	Published - 2021 Apr

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61673161.

Publisher Copyright:
© 2013 IEEE.

Keywords

Adaptive event-triggered scheme
fault detection
output quantization
semi-Markovian jump systems (S-MJSs)

ASJC Scopus subject areas

Software
Control and Systems Engineering
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TSMC.2019.2912846

Cite this

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title = "Adaptive Event-Triggered Fault Detection Scheme for Semi-Markovian Jump Systems with Output Quantization",

abstract = "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_{\infty } performance with the help of linear matrix inequalities (LMIs). Finally, we provide simulation results to demonstrate the usefulness of the developed theoretical results.",

keywords = "Adaptive event-triggered scheme, fault detection, output quantization, semi-Markovian jump systems (S-MJSs)",

author = "Linchuang Zhang and Hongjing Liang and Yonghui Sun and Ahn, {Choon Ki}",

note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61673161. Publisher Copyright: {\textcopyright} 2013 IEEE.",

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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