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检索条件"机构=Systems and Control Engineering group"
2755 条 记 录,以下是521-530 订阅
排序:
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization
arXiv
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arXiv 2021年
作者: Bogdanovic, Miroslav Khadiv, Majid Righetti, Ludovic Movement Generation and Control Group Max Planck Institute for Intelligent Systems Tübingen Germany Machines in Motion Laboratory Tandon School of Engineering New York University New YorkNY United States
We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training using a single demonstration generated by trajectory optimi... 详细信息
来源: 评论
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
arXiv
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arXiv 2022年
作者: de Gelder, Erwin Hof, Jasper Cator, Eric Paardekooper, Jan-Pieter den Camp, Olaf Op Ploeg, Jeroen De Schutter, Bart TNO Integrated Vehicle Safety Helmond Netherlands Delft University of Technology Delft Center for Systems and Control Delft Netherlands Radboud University Medical Center Department for Health Evidence Nijmegen Netherlands Radboud University Applied Stochastics Nijmegen Netherlands Radboud University Donders Institute for Brain Cognition and Behaviour Nijmegen Netherlands Eindhoven University of Technology Dept. of Mechanical Engineering Dynamics and Control Group Eindhoven Netherlands
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidat... 详细信息
来源: 评论
A Unified NOMA Framework in Beam-Hopping Satellite Communication systems
arXiv
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arXiv 2024年
作者: Zhang, Xuyang Yue, Xinwei Li, Tian Han, Zhihao Wang, Yafei Ding, Yong Liu, Rongke The Key Laboratory of Information and Communication Systems Ministry of Information Industry The Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China The 54th Research Institute of China Electronics Technology Group Corporation Hebei Shijiazhuang050081 China The School of Electronic and Information Engineering Beihang University Beijing100191 China Shenzhen Institution of Beihang University Shenzhen518063 China The Baicells Technologies Co. Ltd Beijing100095 China
This paper investigates the application of a unified non-orthogonal multiple access framework in beam hopping (U-NOMA-BH) based satellite communication systems. More specifically, the proposed U-NOMA-BH framework can ... 详细信息
来源: 评论
Relay Satellite Assisted LEO Constellation NOMA Communication System
arXiv
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arXiv 2024年
作者: Zhang, Xuyang Yue, Xinwei Han, Zhihao Li, Tian Shen, Xia Wang, Yafei Liu, Rongke Key Laboratory of Information and Communication Systems Ministry of Information Industry China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang Hebei050081 China Beijing100191 China School of Electronic and Information Engineering Beihang University Beijing100191 China Shenzhen Beihang Emerging Industry Technology Research Institute Shenzhen518063 China
This paper proposes a relay satellite assisted low earth orbit (LEO) constellation non-orthogonal multiple access combined beamforming (R-NOMA-BF) communication system, where multiple antenna LEO satellites deliver in... 详细信息
来源: 评论
Model reduction methods for complex network systems
arXiv
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arXiv 2020年
作者: Cheng, Xiaodong Scherpen, Jacquelien M.A. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Jan C. Willems Center for Systems and Control ENTEG University of Groningen Netherlands
Network systems consist of subsystems and their interconnections, and provide a powerful framework for analysis, modeling and control of complex systems. However, subsystems may have high-dimensional dynamics, and the... 详细信息
来源: 评论
Trust your model: Iterative label improvement and robust training by confidence based filtering and dataset partitioning
arXiv
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arXiv 2020年
作者: Haase-Schütz, Christian Stal, Rainer Hertlein, Heinz Sick, Bernhard Engineering Cognitive Systems Automated Driving Chassis Systems Control Robert Bosch GmbH Abstatt Germany Intelligent Embedded Systems Group University of Kassel Germany
State-of-the-art, high capacity deep neural networks not only require large amounts of labelled training data, they are also highly susceptible to labelling errors in this data, typically resulting in large efforts an... 详细信息
来源: 评论
Circulant shift-based beamforming for secure communication with low-resolution phased arrays
arXiv
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arXiv 2021年
作者: Patel, Kartik Myers, Nitin Jonathan Heath, Robert W. Wireless Networking and Communications Group The University of Texas at Austin United States Delft Center for Systems and Control Delft University of Technology Netherlands Department of Electrical and Computer Engineering North Carolina State University United States
Millimeter wave (mmWave) technology can achieve high-speed communication due to the large available spectrum. Furthermore, the use of directional beams in mmWave system provides a natural defense against physical laye... 详细信息
来源: 评论
3D Pipe Network Reconstruction Based on Structure from Motion with Incremental Conic Shape Detection and Cylindrical Constraint
arXiv
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arXiv 2020年
作者: Kagami, Sho Taira, Hajime Miyashita, Naoyuki Torii, Akihiko Okutomi, Masatoshi Dept. of Systems and Control Engineering Tokyo Institute of Technology R&D Group Olympus Corporation
Pipe inspection is a critical task for many industries and infrastructure of a city. The 3D information of a pipe can be used for revealing the deformation of the pipe surface and position of the camera during the ins... 详细信息
来源: 评论
V2X-BGN: Camera-based V2X-Collaborative 3D Object Detection with BEV Global Non-Maximum Suppression
V2X-BGN: Camera-based V2X-Collaborative 3D Object Detection ...
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IEEE Symposium on Intelligent Vehicle
作者: Caiji Zhang Bin Tian Shi Meng Shuangying Qi Yang Sun Yunfeng Ai Long Chen School of Artificial Intelligence University of Chinese Academy of Sciences and With the National Key Laboratory for Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Bin Tian is With the National Key Laboratory for Multi-Modal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and With the School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China National Key Laboratory for Multi-Modal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and With the School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Chongqing Iron and Steel Group Mining Co. Ltd. Chongqing China School of Mechanical and Equipment Engineering Hebei University of Engineering Handan China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Waytous Inc. Qingdao China School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Waytous Ltd. Qingdao China
In recent years, research on Vehicle-to-Everything (V2X) cooperative perception algorithms mainly focuses on the fusion of intermediate features from LiDAR point clouds. Since the emergence of excellent single-vehicle... 详细信息
来源: 评论
Single module identifiability in linear dynamic networks with partial excitation and measurement
arXiv
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arXiv 2020年
作者: Shi, Shengling Cheng, Xiaodong Van Den Hof, Paul M.J. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Control Group Department of Engineering University of Cambridge CB2 1PZ United Kingdom
Identifiability of a single module in a network of transfer functions is determined by whether a particular transfer function in the network can be uniquely distinguished within a network model set, on the basis of da... 详细信息
来源: 评论