… the state is available. This has led to the realm of state constrained extended Kalman
filtering, see, eg, [23], where a variety of tools allow forcing the state to belong to a set where it is …

… are implicitly considered in the state vector of displacement and velocity. … filters: the unscented
Kalman filter, third-degree cubature Kalman filter, and fifth-degree cubature Kalman filter. …

… constrained robust DSE framework that is able to deal with various equality and inequality
constraints… and equality constraints, respectively, within the unscented Kalman filter (UKF) …

… errors, state constraints may be introduced, yielding the so-called constrained EKF (CEKF).
Recently, the CEKF has attracted a lot of attention and the use of state constraints has …

… This book will mainly focus on these Jacobian-free filters, and especially on the Cubature
Kalman Filter (CKFs) and its extensions. Several extensions to the CKF will be derived, …

… The goal of this paper is to develop a robust nonlinear Kalman filter for the state estimation
of the power system against large outliers. To be specific, the contributions include the …

… by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman
Filter and Unscented Kalman Filter… , mostly the Extended Kalman Filter has been applied to …

… Due to its potential applications in robotics and navigation, recent years have witnessed
some progress in Kalman filter (KF) with norm constraints on the state. A noticeable discovery of …

… of models that generalizes the Kalman filter by allowing for … Kalman filter, and in section
2.5, we discuss using the DKF approximation in models with nonlinear or nongaussian state …

… and its variants have been successfully used for solving state estimation problems. Kalman
filtering… In this work, we propose a Kalman filtering-based robust state estimation model using …