… recursive Kalman … , a Kalman filter often suffers from the problem of "dropping off' and
looses then the ability to match abrupt parameter changes. In this paper an adaptive Kalman filter …

… at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic
injection … As an alternative, the proposed adaptive Kalman filter switches between the two basic …

… The third choice of harmonics reduction in this paper is Kalman filter. Even if Kalman filter is
very … Kalman filtering was used in this paper for harmonics reduction and it gave a very good …

… ) aided Kalman filter (PSO-GA-KF) method for dynamic harmonic state … of harmonics. To
test the effectiveness of the algorithm, several time-varying signals are simulated with harmonics …

… Kalman Filter (EKF). We introduce a generalized state space model to estimate and track
frequency of a harmonic signal … from an adaptive filter such as a Kalman Filter or an Extended …

… based on ensemble Kalman filtering for estimation of harmonics, interharmonics, … signal.
The proposed technique is computationally efficient compared to conventional Kalman filtering …

… For such purposes, this paper proposes Kalman filter methodology for dynamic harmonic …
vector estimation for harmonic detection, this paper proposes two adaptive Kalman algorithms, …

… Thus, a large variation in the power signal frequency could limit the use of Kalman filters.
Additionally, there are problems with stability and convergence associated with the technique. …

… harmonic components of a signal disturbed by white noise. Also, the estimates with the Kalman
filter (… easily with time variation in the signal parameters, whereas other approaches may …

… Kalman filter was widely used in power system harmonics … A new adaptive kalman filter was
proposed in this paper, the … covariance matrix to let the kalman filter to react again with the …