Optimal control methods in intelligent vehicles. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Chen, Hong; Guo, Lulu; Qu, Ting; Gao, Bingzhao; Wang, Fei
• Is Part Of: Journal of control and decision. Volume 4:Issue 1(2017)
• Page Start: 32
• Page End: 56
• Publication Date: 2017-01-02
• Subjects: Control technology -- intelligent vehicles -- eco-driving -- MPC-based driver modelling; Control theory -- Periodicals; Decision making -- Periodicals; Robotics -- Periodicals; 003.505
• DOI: 10.1080/23307706.2016.1254072
• Languages: English
• ISSNs: 2330-7706

Abstract

Abstract : 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.