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International Journal of Robust and Nonlinear Control
Article . 2021 . Peer-reviewed
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2022
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Event‐triggered fault detection for discrete‐time Markovian jump systems in finite frequency domain

Event-triggered fault detection for discrete-time Markovian jump systems in finite frequency domain
Authors: Peng Cheng; Chenxiao Cai;

Event‐triggered fault detection for discrete‐time Markovian jump systems in finite frequency domain

Abstract

AbstractThis paper is concerned with the design of the finite frequency fault detection (FD) filter based on the event‐triggered scheme (ETS) for discrete‐time Markovian jump (DMJ) systems with Lipschitz functions, time‐varying delays, and packet dropouts. A novel FD filter subject to ETS and data missing is developed, and the augmented filter system is rewritten as a DMJ‐linear parameter varying (DMJ‐LPV) system through a reformulated Lipschitz property. Then, two novel lemmas are proposed to guarantee the DMJ‐LPV system robust to unknown disturbances and sensitive to finite frequency faults. Next, the proposed lemmas are deduced into linear matrix inequalities by using Finsler's lemma and S‐procedure. Finally, the application of Chua's circuit system is employed to illustrate the validity and superiority of the proposed theory.

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Keywords

Discrete-time control/observation systems, Discrete event control/observation systems, discrete-time Markovian jump systems, finite frequency, Frequency-response methods in control theory, fault detection, Filtering in stochastic control theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
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