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Distributed model predictive control for heterogeneous vehicle platoon with unknown input of leading vehicle

  • Published:2023-10 Issue: Volume:155 Page:104312
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Qiang Zhiwen,Dai LiORCID,Chen BoliORCID,Li Keqiang,Xia Yuanqing

Funder

Royal Society

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference58 articles.

1. Feedforward strategies for cooperative adaptive cruise control in heterogeneous vehicle strings;Al-Jhayyish;IEEE Trans. Intell. Transp. Syst.,2017

2. Yalmip toolbox;Anon,2021

3. Fuel economy optimization for platooning vehicle swarms via distributed economic model predictive control;Bian;IEEE Transactions on Automation Science and Engineering,2022

4. Distributed model predicted control of multi-agent systems with applications to multi-vehicle cooperation;Bian,2020

5. Formation control with lane preference for connected and automated vehicles in multi-lane scenarios;Cai;Transp. Res. C,2022

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed optimization for multi-commodity urban traffic control;Transportation Research Part C: Emerging Technologies;2024-10

2. Distributed Model Predictive Control for Vehicle Platooning with Intermittent Communication;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. Bandwidth-Aware Dynamic Event-Triggered Distributed Predictive Platooning Control of Heterogeneous Connected Vehicles;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. What are the most influential factors in a vehicle platoon?;2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS);2024-05-23

5. A Homogeneous Multi-Vehicle Cooperative Group Decision-Making Method for Complicated Mixed Traffic Scenarios;2023
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