Review on model predictive control: An engineering perspective
Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …
methods, which make use of a process model to predict the future behavior of the controlled …
Energy saving potentials of connected and automated vehicles
A Vahidi, A Sciarretta - Transportation Research Part C: Emerging …, 2018 - Elsevier
Connected and automated vehicles (CAV) are marketed for their increased safety, driving
comfort, and time saving potential. With much easier access to information, increased …
comfort, and time saving potential. With much easier access to information, increased …
[PDF][PDF] 模型预测控制——现状与挑战
席裕庚， 李德伟， 林姝 - 自动化学报, 2013 - aas.net.cn
摘要30 多年来, 模型预测控制(Model predictive control, MPC) 的理论和技术得到了长足的发展,
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
[PDF][PDF] 智能网联汽车(ICV) 技术的发展现状及趋势
李克强， 戴一凡， 李升波… - 汽车安全与 …, 2017 - idlabweb.oss-cn-beijing.aliyuncs …
综述了智能网联汽车(ICV) 技术的发展现状及趋势. ICV 的体系架构包括价值链,
技术链与产业链. ICV 的4 个发展阶段是: 自主式驾驶辅助, 网联式驾驶辅助, 人机共驾 …
技术链与产业链. ICV 的4 个发展阶段是: 自主式驾驶辅助, 网联式驾驶辅助, 人机共驾 …
Control barrier function based quadratic programs for safety critical systems
Safety critical systems involve the tight coupling between potentially conflicting control
objectives and safety constraints. As a means of creating a formal framework for controlling …
objectives and safety constraints. As a means of creating a formal framework for controlling …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …
learning (RL). To optimize driving performance, a reward function is developed by …
Policy and society related implications of automated driving: A review of literature and directions for future research
In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …
are explored, findings discussed in literature about those effects are reviewed and areas for …
Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …
Efficient energy management strategy for hybrid electric vehicles/plug‐in hybrid electric vehicles: review and recent advances under intelligent transportation system
C Yang, M Zha, W Wang, K Liu… - IET Intelligent Transport …, 2020 - Wiley Online Library
Efficient operation technique has always been one of the common goals for researches both
in automobile industrial and academic areas. With the great progress of automobile …
in automobile industrial and academic areas. With the great progress of automobile …