… the extended Kalman filter (EKF), unscented Kalman filter (… s laws of motion [12] (or equivalently
Lagrange’s or Hamilton’s … We define the tracker coordinate frame for which the X, Y , and …

… Therefore, we present an adaptive robust Kalman filtering for PPP … conventional Kalman filter
and adaptive robust Kalman filter … Kalman filter can be derived by the following Lagrangian …

… is to say a field of Lagrange multipliers, named v, is introduced. The Lagrangian 16 is thus …
This difference comes from the fact that the number of PGD extra-coordinates we can consider …

… where k is a vector of m Lagrange multipliers which are at this stage unknown and the 2 is
… model ybxc = + and the x,y coordinate pairs of each data point are considered as indirect …

… based on the network of emitters with known coordinates, such as WiFi, Bluetooth, and ultra…
Lagrange multiplier method can be used to realize constrained optimization. The Lagrangian …

… Therefore, position estimation techniques, such as the Lagrange interpolation method or …
However, position estimators that use the Lagrange interpolation method discontinuously …

… The motion of this coordinate frame is dictated by the plasma … : a Lagrangian frame used to
solve the dynamical equa- … the partials of the densities in the Lagrangian frame to those in the …

… problem which is solved using the Kalman filter. In the literature, the Kalman filter is derived
as either a best predictor (BP) or a best linear predictor (BLP), see eg Kalman (1960), Gelb (…

This paper presents a Kalman filter (KF)-integrated optical flow method to measure the
velocity of mobile robots using a downward-looking camera. Tests conducted earlier by the …

… using symbolic computation: Lagrange Equations are used to … with respect to generalized
coordinates and their first time-… The state vector includes the generalized coordinates, q , …