… at the previous time is fed back to the input vectors, together with the … Kalman filtering based
parameter and state estimation approach of lithiumion polymer battery in electric vehicles,’’ …

… driving and dynamic control of vehicles. Vehicle state estimation under unknown noise … The
UKF is based on the framework of the Kalman filter combined with unscented transformation, …

… motor drives compared to the Kalman filter. … controller with a combination of respective
estimation techniques. As this value is high in NMPC-NMHE(20), the NMPCNMHE combination …

… Kalman filter (KF) is extensively used in state estimation due to the … novel approach of
combining lane detection and MPC approach … In this section, a robust model predictive controller …

… approach has higher accuracy for system state estimation under … In [13], combining with
model predictive control (MPC) … damping modes is applied to vehicle semi-active air suspension…

… side slip angle state estimator based on interacting multiple model unscented Kalman filter
(IMM-… Therefore, this paper proposes an interacting multiple model algorithm combined with …

… impact of unknown noise on the estimation of the vehicle states. The remainder of the paper
is … of vehicle state estimation. Section 3 provides the hybrid algorithm (UKF combined with a …

… of vehicle state estimation. Moustapha Doumiati proposed an observer derived from unscented
Kalman filtering … Lukas Hewing presented a cautious nonlinear model predictive control (…

… electric vehicles, an unscented Kalman filter (UKF) algorithm combined with the Huber method
is … platform for distributed driving electric vehicle state estimation was built in the MATLAB/…

… state estimation, and propose a hybrid state estimation algorithm based on deep neural network
(DNN) and unscented Kalman filter … , a sideslip angle estimation method combining long …