Vehicle State Estimation by Integrating the Recursive Least Squares Method with a Variable Forgetting Factor with an Adaptive Iterative Extended Kalman Filter

The sideslip angle and the yaw rate are the key state parameters for vehicle handling and stability control. To improve the accuracy of the input parameters and the time-varying characteristics of noise covariance in state estimation, a combined method of recursive least squares with a variable forg...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Yong Chen, Yanmin Huang, Zeyu Song
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	World Electric Vehicle Journal
Fag:	distributed drive electric vehicle state estimation iterated extended Kalman filter variable forgetting factor recursive least squares adaptive control
Online adgang:	https://www.mdpi.com/2032-6653/15/9/399
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!