A new smooth variable structure Tobit filter for systems with censored measurements and model parameters uncertainty

DOI10.1016/j.jfranklin.2024.106666OpenAlexW4391529556WikidataQ128682204 ScholiaQ128682204MaRDI QIDQ6202518

Liangyu Zhao, Tai-Shan Lou, Yingbo Lu, Yuzhao Jiao

Publication date: 26 March 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2024.106666

zbMATH Keywords

censored measurementsmodel parameters uncertaintynear optimal smooth boundary layerrobust filter gainsmooth variable structure Tobit filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Variable structure systems (93B12)

Cites Work

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• Distributed Kalman filtering over sensor networks with fading measurements and random link failures
• Distributed Federated Tobit Kalman Filter Fusion Over a Packet-Delaying Network: A Probabilistic Perspective
• Protocol-Based Tobit Kalman Filter Under Integral Measurements and Probabilistic Sensor Failures
• A new particle filter based on smooth variable structure filter
• An improved Tobit Kalman filter with adaptive censoring limits

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