Model Predictive Multi-Objective Vehicular Adaptive Cruise Control
By Shengbo Eben Li, Keqiang Li, Rajesh Rajamani, Jianqiang Wang. IEEE Transactions on Control Systems Technology, 2011
553 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/737ec078d71ee2ad321ddf75bb75f2ac77bd423c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Aaron D. Ames
- Paulo Tabuada
- Jessy W. Grizzle
- Shengbo Eben Li
- Keqiang Li
- Dongpu Cao
- Francesco Borrelli
- Yang Zheng
In Control and Systems Engineering
- Aaron D. Ames
- Shengbo Eben Li
- Paulo Tabuada
- Keqiang Li
- Jessy W. Grizzle
- Yang Zheng
- J. Karl Hedrick
- Francesco Borrelli
Citations in the corpus
- Control barrier function based quadratic programs with application to adaptive cruise control (2014, background): “The most relevant to the approach taken here is based on model predictive control [13], [17], which is natural in the ACC setting due to the existence of multiple control objectives.”
- Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies (2016, background): “Some reasonable assumptions should be used to obtain a concise model for control [19], [20], [33], [34]:”
- Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies (2016, background): “, [32][33], which only involve two vehicles in the problem formulation.”
- Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities (2017, background): “Most existing work for platoon control relies on the problem formulation of adaptive cruise control (ACC) [61], [62], which only involves two vehicles in the problem formulation.”
- Model Predictive Control — Status and Challenges (2013, unknown): “法 汽车电子和船舶系统也是预测控制近年来大量 应用的领域 , 如约束预测控制方法应用于船舶减摇 鳝的控制 [140] , 采用扰动补偿的预测控制方法解决船 头航向控制中的约束保证问题 [141] , 针对汽车自动驾 驶问题 , 研究相关的信息利用、节能以及多目标优化 问题 , 并应用于小型汽车 (SMART) 中 [142 − 144] , 用 预测控制方法研究无人驾驶汽车的驱动 / 避障和怠 速控制问题 [145 − 146] 等 .”
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems (2016, unknown): “The CBF-CLF-based QPs are illustrated on two automotive safety/convenience problems; namely, Adaptive Cruise Control (ACC) and Lane Keeping (LK) [31], [32], [33], [34].”