Adaptive Event‐Triggered Asynchronous Finite‐Time <i>H</i><sub>∞</sub> Filter Design for Linear Neutral Semi‐Markovian Jumping Systems With Mixed Sensor Faults

ABSTRACT This paper studies the design of adaptive event‐triggered asynchronous finite‐time filter for neutral semi‐Markovian jumping systems (SMJSs) with mixed sensor faults. A novel adaptive event‐triggered mechanism (AETM) is constructed to automatically tune trigger threshold, thus alleviating the communication burden. Subsequently, in light of the device's unsafe operating environment, a mixed sensor faults model is taken into account. Next, sufficient conditions are obtained to ensure the filtering error system (FES) meets stochastic finite‐time boundedness (FTB) and stochastic finite‐time contractive boundedness (FTCB). Lastly, an engineering‐based example is shown to validate the efficacy of the proposed method.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-02-26
DOI
https://doi.org/10.1002/rnc.7876
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Adaptive Event‐Triggered Asynchronous Finite‐Time H∞ Filter Design for Linear Neutral Semi‐Markovian Jumping Systems With Mixed Sensor Faults

Guifang Cheng, Huahai Shen
1 citations
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
1.21
article

Adaptive Event‐Triggered Asynchronous Finite‐Time H∞ Filter Design for Linear Neutral Semi‐Markovian Jumping Systems With Mixed Sensor Faults

Guifang Cheng, Huahai Shen
article en
1 citations

Abstract

ABSTRACT This paper studies the design of adaptive event‐triggered asynchronous finite‐time filter for neutral semi‐Markovian jumping systems (SMJSs) with mixed sensor faults. A novel adaptive event‐triggered mechanism (AETM) is constructed to automatically tune trigger threshold, thus alleviating the communication burden. Subsequently, in light of the device's unsafe operating environment, a mixed sensor faults model is taken into account. Next, sufficient conditions are obtained to ensure the filtering error system (FES) meets stochastic finite‐time boundedness (FTB) and stochastic finite‐time contractive boundedness (FTCB). Lastly, an engineering‐based example is shown to validate the efficacy of the proposed method.

International Journal of Robust and Nonlinear ControlVol. 35(9)
Zhengzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Stability and Control of Uncertain Systems
1.21
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