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

作者：Yang Gu, Mouquan Shen, Ju H. Park, Qing‐Guo Wang, Yang Yi, Yonghui Sun · 发表于：IEEE Transactions on Automation Science and Engineering · 年份：2025 · DOI：10.1109/tase.2025.3527974 · 被引用次数：22 · 研究领域：Neural Networks Stability and Synchronization、Matrix Theory and Algorithms、Chaos control and synchronization

This paper is dedicated to a dynamic event-triggeredH∞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.