作者: Malak Abid Ali Khan1,2;,Hongbin Ma1,2;,Ying Jin2;,Jingxiang Ma2;,Zia Ur Rehman2;,Mizanur Rahman2; (1School of Automation,Beijing Institute of Technology;2State Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by the National Key Research and Development Plan of China (2018AAA0101000);the National Natural Science Foundation of China (62076028) 2023
会议录: 第42届中国控制会议
关键词: Distributed Machine Learning;Spreading Factor;Data Rate;Saturation;Life Span
摘要: Deforestation is the primary source of global warming;traditional shelf labels use paper to display the price of the products,and human forces play a ...
作者: Yuxin Wang1,2;,Zhongqi Sun1,2;,Yunshan Dang1;,Min Lin1;,Chang Li1;,Yuanqing Xia1; (1School of Automation,Beijing Institute of Technology;2Yangtze Delta Region Academy,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by the Beijing Municipal Science Foundation under Grant 4222052;by the National Natural Science Foundation (NNSF)of China under Grant 62003040;by Graduate Interdisciplinary Innovation Project of Yangtze Delta Region Academy of Beijing Institute 2023
会议录: 第42届中国控制会议
关键词: Trajectory Planning;Collision Avoidance;Optimal Control;Sequential Convex Programming
摘要: A vehicle trajectory planning strategy for autonomous collision avoidance is proposed in this paper.First,a nonconvex optimization model for vehicle t ...
作者: Zhiqiang Jia1;,Wencheng Luo2;,Pingli Lu2;,Changkun Du3;,Haikuo Liu3; (1Beijing Aerospace Automatic Control Institute;2School of Automation, Beijing Institute of Technology;3School of Mechatronical Engineering, Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by the National Natural Science Foundation of China under grants 61433003,60904003,11602019;by the Science and Technology on Space Intelligent Control Laboratory of China under grant6142208200308 2023
会议录: 第42届中国控制会议
关键词: Multi-agent systems;Consensus control;Event-triggered control;Networked predictive control
摘要: In this article, the consensus control issue of homogeneous multi-agent systems is studied. To reduce the negative effects brought out by random commu ...
作者: Yongjie Zhang1,2;,Jieshuai Wu1,2;,Maobin Lu1,2;,Fang Deng1,2; (1School of Automation, Beijing Institute of Technology;2Beijing Institute of Technology Chongqing Innovation Center)
出处: 第42届中国控制会议 supported in part by National Key R&D Program of China under Grant 2021ZD0112600;in part by National Natural Science Foundation of China under Grant 61973035;in part by Shanghai Municipal Science and Technology Major Project 2021SHZDZX0100;in part by Key 2023
会议录: 第42届中国控制会议
关键词: Output regulation;DoS attacks;event-triggered control;resilient control;linear uncertain systems
摘要: In this paper, we study the resilient robust output regulation problem of general linear systems under denial-of-service(DoS) attacks by an event-trig ...
作者: Zhengmao Liu1;,Chengpu Yu2;,Fanshuo Qiu1;,Yixuan Liu1; (1School of Automation,Beijing Institute of Technology;2Chongqing Innovation Center,Beijing Institute of Technology)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Coherent Point Drift(CPD);Gauss Mixture Model(GMM);Improved Fast Gauss Transform(IFGT);Point Cloud Registration;EM algorithm
摘要: In laser dense mapping,registering large 3 D point clouds can be a challenging task.The Coherent Point Drift(CPD)algorithm has been proven to be a sup ...
作者: Zhihao Miao,Zhihong Deng,Kai Shen,Xinyu Liang (Integrated Navigation and Intelligent Navigation Laboratory,Beijing Institute of Technology)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Pulse engine;Guided projectile;Trajectory tracking;Advance correction;Particle swarm optimization
摘要: The projectile launched by large caliber artillery has parabolic flight characteristics.and its trajectory contains rich coordinate information and at ...
作者: Qiuyu Wang1;,Pingli Lu1;,Ye Tian2; (1School of Automation, Beijing Institute of Technology;2College of Engineering, Peking University)
出处: 第42届中国控制会议 supported by the National Natural Science Foundation of China under grants 61433003,60904003,11602019;by the Science and Technology on Space Intelligent Control Laboratory of China under grant6142208200308 2023
会议录: 第42届中国控制会议
关键词: Multi-missile systems;Simultaneous-arrival-to-origin;Sliding model control;Finite-time
摘要: This paper investigates the problem of multiple missiles attacking a fixed target coordinately. Different from the residual time cooperative control a ...
作者: Zhenyong Pan1,2;,Xia Pan3;,Yufeng Zhan1,2;,Yuanqing Xia2; (1Yangtze Delta Region Academy of Beijing Institute of Technology;2School of Automation, Beijing Institute of Technology;3CATARC Intelligent and connected technology Co.,LTd.)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Personalized Traffic Control;Traffic Signal;Deep Reinforcement Learning
摘要: Traffic signal control is a critical aspect of improving urban traffic efficiency and reducing road accidents. Reinforcement learning(RL) has been app ...
作者: Bin Yuru1,2;,Wang Hui1,2;,Guo Kaiyang3;,Dai Xin1;,Yang Haorui1; (1School of Aerospace Engineering,Beijing Institute of Technology;2Beijing Key Laboratory of UAV Autonomous Control,Beijing Institute of Technology;3Beijing Institute Of Electronic System Engineering)
出处: 第42届中国控制会议 co-supported by the Beijing Key Laboratory of UAV Autonomous Control;the Key Project of Chinese Ministry of Education(2022CX02702) 2023
会议录: 第42届中国控制会议
关键词: Impact time control;FOV constraint;Maneuvering targets;Polynomial guidance
摘要: In this paper,a novel guidance law aimed at intercepting targets of various motion forms with impact time and additional field-of-view(FOV) constraint ...
作者: Yaodong Hou1;,Gang Tao1;,Zheng Zang1,2;,Guojie Kong1,3;,Jianwei Gong1; (1Intelligent Vehicle Research Center,Beijing Institute of Technology;2Advanced Technology Research Institute,Beijing Institute of Technology;3Beijing Special Vehicle Academy)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Multi-Agent Path Finding;infinite speed Conflict-Based Search;heuristic search
摘要: Multi-Agent Path Finding(MAPF) is the problem of finding a set of non-conflicting paths for multiple agents on a graph,which is NP-hard to solve optim ...
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