… In this paper, a robust adaptive algorithm, called recursive minimum error entropy, is derived
… better than the recursive least squares and recursive maximum correntropy algorithm. …

… -feasible recursive filtering algorithms for networked nonlinear systems. This paper focuses
on the … area network environment via an adaptive unscented kalman filter. IEEE Transactions …

… Taking the short-term Mackey–Glass (MG) time series from [11] into consideration, we aim
to make prediction based on the past seven values. The training data is a segmented 500 …

… -adaptive saturation function is introduced to the constructed filter to mitigate the influence of
MOs on the filter … resistant-outlier filter for NSs with MNs and MOs, and the filter gain ensures …

… In this subsection, we consider the estimation of the filter weight w on the condition that the
noise … Baykal, “Recursive least squares implementation of the quadratically constrained IIR …

… recursion of the Bayesian filter reduces to an algebraic recursion operating only on means
… is developed to fuse the adaptive fading UKF and robust UKF as sub-filters according to the …

… The fundamental concept of adaptive filters dates back to 1938 … the adaptive switching
circuits that are based on a least … filter which is the recursive solution to the discrete data linear …

… based on adaptive double Kalman filter is proposed. This algorithm uses the recursive least
… time, and employs the DKF algorithm to filter the SOC twice to reduce the interferences from …

… It was found that with a filter length of 2 and forgetting factor of 0.999, the delay … on the THD
in the range of ±8%. This range varies depending on the filter settings, so the correct adaptive …

… filtering algorithm, this paper proposes a SOC estimation method for the lithium-ion battery
based on adaptive extended Kalman filter … is established and the recursive least squares with …