Dynamic Event-Triggered H ∞ Filtering for Fuzzy Markov Jump Systems Subject to Mismatched Quantization
Yang Gu, Mouquan Shen, Ju H. Park, Qing‐Guo Wang, Yang Yi, Yonghui Sun · IEEE Transactions on Automation Science and Engineering · 2025
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.