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The DKF is a dual estimation system, and is different from the conventional Kalman filter (KF).
The proposed approaches are designed based on the unscented Kalman filter (UKF) and the concept of dual estimation.
Recently, the unscented Kalman filter (UKF) has been proposed as a theoretically better alternative to the EKF in the field of nonlinear filtering and has received great attention in navigation, parameter estimation, and dual estimation problems.
In this paper, we propose to solve the joint-estimation problem in a two-step, Dual Estimation approach, where we first solve the parameter-estimation problem by solving a constrained optimisation problem in a recursive manner and secondly, employ a robust polytopic observer design for state estimation.
One of methods for this dual estimation is to use EKF by taking the parameters as additional states and augmenting state equations [39].
Similar(54)
According to Prewitt, the debate focuses on a type of sampling called "dual system estimation," or "capture-recapture".
In the static zone, dual plasticity estimation is proposed as it provides vital information on the expected damage.
Compared to the dual-frequency estimation model, a slight improvement is observed for the troposphere precision.
We propose the complex dual channel (CDC) estimation technique as an alternative to widely linear estimation to both gain further insights into complex valued minimum mean square error (MMSE) estimation and to design computationally efficient adaptive filtering algorithms.
A dual state-parameter estimation which results in a significantly reduced computation time was used by combining two filters consecutively activated in the same iteration.
The control design is based on the Bellman optimisation recursion where the length of the recursion is shortened to two stages to reduce computational burdens and to ensure dual features between estimation and control aims.
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