… By contrast, the continuous Kalman filters that we develop in … To gain efficiency with minimal
loss of accuracy, we design … for multibody systems [29]. We form a composite generalized …

… performances to the estimation by a Kalman filter (KF) fusion. … mass distribution of the
multibody system, the configuration q … to take the lowest possible orders for the bandpass filters to …

… terms of a set of n generalized independent coordinates ( )t … coordinates are named lagrangian
coordinates whereas the position coordinates are sometimes called physical coordinates …

… time using the celebrated Kalman filter approach [24,25]. In [24], the nonlinear variants of
the GM-PHD algorithm using an extended Kalman filter and an unscented Kalman filter (UKF) …

… railway tracks to ensure the minimum quality standards for both … on a rich non-linear multibody
model. Quite good results in the … The state vector includes the generalized coordinates, q , …

… filtering approaches, ie, extended Kalman filters and … multibody systems. The used dynamics
models are described in terms of minimal coordinates and in terms of redundant coordinates…

… formulation of a multi-body dynamic model with a hybrid … As the arm is moved, an extended
Kalman filter estimates the … parameters, we only make the minimum assumption that they are …

… of a rigid open-chain multi-body linkage assembly using rate … on the complementary and
Kalman filtering principles for … sensors, we consider a minimum MEMS configuration of triaxial …

… matrix method, which uses a minimal coordinate representation, and does not require any
… model-based filter prediction. In this way, the impact of different multibody formulations on …

… Using a set of independent coordinates z, the Lagrange equations of a multibody system …
estimation of multibody systems show that frequently not all the base or minimum parameters …