Optimal control methods in intelligent vehicles

被引：0
|
作者：
Chen H. [1 ,2 ]
Guo L. [1 ,2 ]
Qu T. [1 ]
Gao B. [1 ]
Wang F. [1 ]
机构：
[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
[2] Department of Control Science and Engineering, Jilin University, Changchun
来源：
Chen, Hong (chenh@jlu.edu.cn) | 1600年 / Taylor and Francis Ltd.卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Control technology; eco-driving; intelligent vehicles; MPC-based driver modelling;
D O I：
10.1080/23307706.2016.1254072
中图分类号：
学科分类号：
摘要：
In recent years, intelligent vehicles (IVs) have become a hot spot in automotive industry. Key technologies of IVs range over the field of sensing, decision-making and control. Among them, control technology provides an enabling support for improving autonomous driving safety, reducing energy consumption and carbon emission. This paper focuses on some aspects of applying advanced control methodologies in IVs through several selected examples including eco-driving and MPC-based driver modelling. © 2016, © 2016 Northeastern University, China.
引用
收藏
页码：32 / 56
页数：24
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