Extended Kalman filters using explicit and derivative-free local linearizations
نویسندگان
چکیده
منابع مشابه
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The extended Kalman filter (EKF) is considered one of the most effective methods for both nonlinear state estimation and parameter estimation (e.g., learning the weights of a neural network). Recently, a number of derivative free alternatives to the EKF for state estimation have been proposed. These include the Unscented Kalman Filter (UKF) [1, 2], the Central Difference Filter (CDF) [3] and th...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2009
ISSN: 0307-904X
DOI: 10.1016/j.apm.2008.07.019