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.
Authors
- Yang Gu (ORCID: https://orcid.org/0000-0001-7555-716X)
- Ju H. Park (ORCID: https://orcid.org/0000-0002-0218-2333)
- Yonghui Sun (ORCID: https://orcid.org/0000-0002-9507-8673)
- Yang Yi (ORCID: https://orcid.org/0000-0003-0926-4523)
- Mouquan Shen (ORCID: https://orcid.org/0000-0001-6448-4866)
- Qing‐Guo Wang (ORCID: https://orcid.org/0000-0002-3672-3716)
Institutions
- Beijing Normal-Hong Kong Baptist University (CN)
- Nanjing Tech University (CN)
- Hohai University (CN)
- Beijing Normal University (CN)
- Yeungnam University (KR)
- Yangzhou University (CN)
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
Funders
- National Natural Science Foundation of China