Robust Min-Max Model Predictive Vehicle Platooning With Causal Disturbance Feedback

Author:

Zhou Jianshan1ORCID,Tian Daxin1ORCID,Sheng Zhengguo2ORCID,Duan Xuting1ORCID,Qu Guixian3ORCID,Zhao Dezong4ORCID,Cao Dongpu5ORCID,Shen Xuemin6ORCID

Affiliation:

1. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China

2. Department of Engineering and Design, University of Sussex, Brighton, Richmond, U.K

3. Aero-Engine System Collaborative Design Center, Research Institute of Aero-Engine, Beihang University, Beijing, China

4. James Watt School of Engineering, University of Glasgow, Glasgow, U.K

5. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada

6. Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON, Canada

Funder

National Postdoctoral Program for Innovative Talents

China Postdoctoral Science Foundation

Opening Project of Ministry of Transport Key Laboratory of Technology on Intelligent Transportation Systems

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Newton Advanced Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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