… based on the Kalman filter and disturbance observer, which … and applications of the Kalman
filter and disturbance observer, are … design of the Kalman filter and disturbance observer in …

… The Kalman filtering is well suited for situations when state variables of interest cannot be …
that the Kalman filter can be used to estimate the time-varying process disturbance in a …

… A novel estimation method called disturbance Kalman filter (DKF) is developed in this paper.
The design of DKF based on a time-invariant composite system model is presented. DKF …

… been developed only for constant disturbance, while in the present work, by defining the
disturbance as a state observer, we are able to track and reject disturbances varying with time. …

… Kalman filter (KF) in a method for estimating disturbed states (6). Unlike conventional methods,
the KF can estimate disturbances … Unfortunately, KF-based disturbance estimation is slow…

… to deal with current or future disturbances in the grid. … extended Kalman filter (EKF): starting
from the time of disturbance, … estimation methods is the time of disturbance detection. In fact, …

… in [6] and [7], while the disturbance error is inserted in the KF’s … the disturbance but also the
time-rate of change of disturbance … Ligorio and AM Sabatini, “A novel Kalman filter for human …

… The disturbance observer is signif… disturbance observer. The main contribution of the work
described in this paper is the design of disturbance observers combined with a Kalman filter …

… disturbance observer with extended Kalman filter In this section, a nonlinear disturbance
observer with extended Kalman filter is designed to observe the system disturbances. A basic …

… provide the traditional Kalman filter. Then, we formulate an estimation problem with unknown
process disturbance. Finally, we introduce the GMKC and GL and provide their properties. …