@inproceedings{cec8f10961cf4a86998d79651061de33,
title = "Estimation of States and Parameters with Dual Extended Kalman Filters for Active Roll Control",
abstract = "This paper presents a method that designs dual extended Kalman filters (EKFs) for active roll control. There are two Kalman filters: state and parameter estimators. The roll angle of a vehicle is estimated by the state estimator with roll rate measurement. It has been well known that the recursive least square (RLS) or parameter estimation scheme can be represented with Kalman filter. Using the fact, the parameters of a vehicle model are estimated by the parameter estimator using the estimated roll angle. Simulation and experiments are done to validate the proposed dual EKFs for active roll control.",
keywords = "Active roll control, Dual extended Kalman filters, Recursive least square, State and parameter estimation",
author = "Seongjin Yim and Jaewon Nah and Manbok Park",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019 ; Conference date: 12-08-2019 Through 16-08-2019",
year = "2020",
doi = "10.1007/978-3-030-38077-9\_184",
language = "English",
isbn = "9783030380762",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1616--1623",
editor = "Matthijs Klomp and Fredrik Bruzelius and Jens Nielsen and Angela Hillemyr",
booktitle = "Advances in Dynamics of Vehicles on Roads and Tracks - Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019",
}