Nonlinear estimators for censored data: A comparison of the EKF, the UKF and the Tobit Kalman filter

Proceedings of the American Control Conference

Volumn 2015-July, Issue , 2015, Pages 5146-5151

  Allik, Bethany ^a   Miller, Cory ^a   Piovoso, Michael J ^b   Zurakowski, Ryan ^a  

^a UNIVERSITY OF DELAWARE   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; EXTENDED KALMAN FILTERS; LINEAR CONTROL SYSTEMS; MONTE CARLO METHODS; PIECEWISE LINEAR TECHNIQUES;

COMPUTATIONALLY EFFICIENT; ENGINEERING APPLICATIONS; LIMIT OF DETECTION; LINEAR DYNAMICAL SYSTEMS; NONLINEAR APPROXIMATION; NONLINEAR ESTIMATOR; UNBIASED ESTIMATOR; UNSCENTED KALMAN FILTER;

MATHEMATICAL TRANSFORMATIONS;

EID: 84940944045     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2015.7172142     Document Type: Conference Paper

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