@inproceedings{18de37fdac8949a18cc5de1cfe8a9157,
title = "An Improved Model Predictive Control Method for Vehicle Lateral Control",
abstract = "This paper presents a lateral dynamic model based on control algorithm for the path tracking of autonomous vehicle. To improve the stability of the vehicle for high speed cases, an improved model predictive control (MPC) controller has been proposed in this paper. By combining the steady state response and MPC, the lateral motion of the autonomous vehicle can be controlled smoothly and the accuracy of path tracking can be guaranteed at a high speed. A number of simulation results obtained by using MATLAB are provided to validate this methodology.",
keywords = "Autonomous vehicle, Lateral dynamics, Model predictive control, Stability, Steady state response",
author = "Yunao Li and Senchun Chai and Ruiqi Chai and Xiaopeng Liu",
note = "Publisher Copyright: {\textcopyright} 2020 Technical Committee on Control Theory, Chinese Association of Automation.; 39th Chinese Control Conference, CCC 2020 ; Conference date: 27-07-2020 Through 29-07-2020",
year = "2020",
month = jul,
doi = "10.23919/CCC50068.2020.9188611",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5505--5510",
editor = "Jun Fu and Jian Sun",
booktitle = "Proceedings of the 39th Chinese Control Conference, CCC 2020",
address = "United States",
}