Dynamic event-triggered H∞ filtering for fuzzy Markov jump systems subject to mismatched quantization | IEEE Journals & Magazine | IEEE Xplore

Dynamic event-triggered H filtering for fuzzy Markov jump systems subject to mismatched quantization


Abstract:

This paper is dedicated to a dynamic event-triggered H∞ filtering method of fuzzy Markov jump systems via a mismatched quantization scheme. The system outputs are trigger...Show More

Abstract:

This paper is dedicated to a dynamic event-triggered H 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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Date of Publication: 10 January 2025

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