… dynamics used either the Euler-Lagrangian or Lagrangian … estimation filter/observer such
as Robust H∞ Kalman filter [30… filter’s reference measurement ie the task space coordinates …

… of the Kalman filter, and we prove that it is also the minimum variance linear unbiased
estimator. Here, we formulate and implement a multi-model ensemble Kalman filter (MM-EnKF) …

… Kalman filtering are derived upon the condition of the generalized maximum likelihood
Lagrangian… parameters: r and v are the position coordinates and the velocity of the vehicle; θ …

… Kalman filter to an under-actuated nonlinear system is proposed. The theory of the Kalman
filter … [3], andfocusing our interest relative to the Lagrangian coordinate φ(the sway angle), in …

… the spatial coordinates in CTM and incorporates the modeling flexibility of Lagrangian models…
In this paper, based on the TTM model, a Lagrangian Kalman Filter framework is proposed …

… Typically, the Euler-Lagrange method can be used to establish a standard physics-based …
termed Gaussian process adaptive disturbance Kalman filter (GPADKF) is developed in this …

… A four-bar linkage (Figure 1) is modeled in natural coordinates with the augmented Lagrangian
index-3 (ALI3P) [1] as formulation to solve the motion of the mechanism. The maneuver …

… In online closed-loop control, the ARX model parameters are feedback corrected by
using the Extended Kalman Filter (EKF) algorithm; and the corresponding ARX-based MPC …

… This study presents a novel application of the ensemble Kalman filter (EnKF, Evensen, 2003)
used to assimilate satellitebased SIC and SIT data in the Lagrangian neXt generation Sea …

… A right-handed Cartesian coordinate system with the origin … the origin of the coordinate
system that extends approximately … performed by the direct Lagrangian method. The mechanism …