Dynamic Event-Triggered <i>H</i> <sub>∞</sub> Filtering for Fuzzy Markov Jump Systems Subject to Mismatched Quantization

This paper is dedicated to a dynamic event-triggered <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering method of fuzzy Markov jump systems via a mismatched quantization scheme. The system outputs are triggered by a dynamic event-triggered mechanism and then quantized via a mismatched quantizer before being sent to the remote filter. The dynamic triggering scheme with a special diagonal matrix structure threshold is built to reduce the network burden. The quantizer is constructed in a multi-channel paradigm with a time-varying mismatch degree. Then, the remote reduce-order filter is designed to be both fuzzy-rule and mode-dependent. By adopting Finsler's Lemma and the vertex separation method, sufficient conditions are derived in terms of form matrix inequalities. At last, the effectiveness of the proposed method is demonstrated by a tunnel diode circuit.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3527974
Citations
16
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
23.79

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article

Dynamic Event-Triggered H ∞ Filtering for Fuzzy Markov Jump Systems Subject to Mismatched Quantization

Yang Gu, Ju H. Park, Yonghui Sun, Yang Yi et al.
16 citations
IEEE Transactions on Automation Science and Engineering
Neural Networks Stability and Synchronization
23.79
article

Dynamic Event-Triggered H ∞ Filtering for Fuzzy Markov Jump Systems Subject to Mismatched Quantization

Yang Gu, Ju H. Park, Yonghui Sun, Yang Yi, Mouquan Shen, Qing‐Guo Wang
article en
16 citations

Abstract

This paper is dedicated to a dynamic event-triggered <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering method of fuzzy Markov jump systems via a mismatched quantization scheme. The system outputs are triggered by a dynamic event-triggered mechanism and then quantized via a mismatched quantizer before being sent to the remote filter. The dynamic triggering scheme with a special diagonal matrix structure threshold is built to reduce the network burden. The quantizer is constructed in a multi-channel paradigm with a time-varying mismatch degree. Then, the remote reduce-order filter is designed to be both fuzzy-rule and mode-dependent. By adopting Finsler's Lemma and the vertex separation method, sufficient conditions are derived in terms of form matrix inequalities. At last, the effectiveness of the proposed method is demonstrated by a tunnel diode circuit.

IEEE Transactions on Automation Science and EngineeringVol. 22
Beijing Normal-Hong Kong Baptist University (CN), Nanjing Tech University (CN), Hohai University (CN), Beijing Normal University (CN), Yeungnam University (KR), Yangzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Neural Networks Stability and Synchronization
23.79
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