Variable step size predictor design for a class of linear discrete-time censored system
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Publication:2671095
DOI10.3934/math.2021614OpenAlexW3192388117MaRDI QIDQ2671095
Publication date: 3 June 2022
Published in: AIMS Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/math.2021614
Kalman filteringprojection formulacensored systemminimum error variance tracevariable step size predictor
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Cites Work
- Estimation of Relationships for Limited Dependent Variables
- Tobit models: A survey
- Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
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- E-Bayesian estimation of Burr type XII model based on adaptive type-II progressive hybrid censored data
- A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties
- The Tobit model with a non‐zero threshold
- An improved Tobit Kalman filter with adaptive censoring limits
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