Multiobjective adaptive car-following control of an intelligent vehicle based on receding horizon optimization  

作　　者：Hongbo GAO Juping ZHU Fei ZHANG Ruidong YAN Junjie ZHOU Lei JIANG Jianqiang WANG Keqiang LI 

机构地区：[1]Department of Automation,University of Science and Technology of China,Hefei 230026,China [2]Institute of Advanced Technology,University of Science and Technology of China,Hefei 230088,China [3]Department of Computational Mathematics,School of Mathematical Sciences,Anhui University,Hefei 230601,China [4]School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China [5]Autonomous Driving Business Unit,Chery Automobile,Wuhu 241009,China [6]School of College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China [7]China North Vehicle Research Institute,Beijing 100072,China [8]School of Automotive Engineering,Tsinghua University,Beijing 100083,China

出　　处：《Science China(Information Sciences)》2023年第4期297-298,共2页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.U20A20225,U2013601);Natural Science Foundation of Hefei,China(Grant No.2021032);Key Research and Development Plan of Anhui Province(Grant No.202004a05020058);Fundamental Research Funds for the Central Universities;Science and Technology Innovation Planning Project of Ministry of Education of China;the CAAI-Huawei Mind Spore Open Fund。

摘　　要：Dear editor,Vehicle control is one of the key steps of intelligent driving[1].Algorithms based on receding horizon optimization(RHO)can predict future trajectories and handle multiobjective constraint conditions;therefore,RHO-based methods have attracted considerable attention in the field of vehicle control.Although existing methods use RHO to design controllers,they do not simultaneously meet the multiobjective optimal control performance requirements on tracking,fuel economy,and ride comfort.

关 键 词：HANDLE EDITOR HORIZON 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] U463.6[自动化与计算机技术—控制科学与工程]