咨询与建议

限定检索结果

文献类型

  • 811 篇 会议
  • 406 篇 期刊文献

馆藏范围

  • 1,217 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 832 篇 工学
    • 303 篇 控制科学与工程
    • 302 篇 软件工程
    • 287 篇 计算机科学与技术...
    • 209 篇 机械工程
    • 151 篇 电气工程
    • 112 篇 信息与通信工程
    • 98 篇 电子科学与技术(可...
    • 77 篇 仪器科学与技术
    • 67 篇 动力工程及工程热...
    • 59 篇 生物工程
    • 45 篇 光学工程
    • 45 篇 交通运输工程
    • 35 篇 材料科学与工程(可...
    • 34 篇 航空宇航科学与技...
    • 33 篇 力学(可授工学、理...
    • 33 篇 土木工程
    • 28 篇 建筑学
    • 28 篇 化学工程与技术
    • 28 篇 安全科学与工程
    • 23 篇 生物医学工程(可授...
  • 417 篇 理学
    • 209 篇 数学
    • 115 篇 系统科学
    • 114 篇 物理学
    • 62 篇 生物学
    • 48 篇 统计学(可授理学、...
    • 26 篇 化学
  • 149 篇 管理学
    • 124 篇 管理科学与工程(可...
    • 31 篇 工商管理
    • 25 篇 图书情报与档案管...
  • 19 篇 医学
  • 18 篇 法学
  • 15 篇 经济学
  • 13 篇 农学
  • 8 篇 军事学
  • 3 篇 艺术学
  • 2 篇 教育学
  • 1 篇 文学

主题

  • 33 篇 feature extracti...
  • 22 篇 optimization
  • 22 篇 accuracy
  • 22 篇 training
  • 19 篇 automation
  • 18 篇 deep learning
  • 17 篇 stability analys...
  • 17 篇 trajectory
  • 17 篇 control systems
  • 16 篇 object detection
  • 16 篇 computational mo...
  • 15 篇 simulation
  • 15 篇 neural networks
  • 15 篇 sliding mode con...
  • 15 篇 mathematical mod...
  • 15 篇 multi-agent syst...
  • 14 篇 closed loop syst...
  • 14 篇 adaptive control
  • 13 篇 reinforcement le...
  • 13 篇 observers

机构

  • 265 篇 school of automa...
  • 163 篇 key laboratory o...
  • 140 篇 key laboratory o...
  • 50 篇 key laboratory o...
  • 25 篇 school of automa...
  • 24 篇 shaanxi key labo...
  • 19 篇 shaanxi key labo...
  • 18 篇 ministry of educ...
  • 18 篇 shaanxi key labo...
  • 17 篇 southeast univer...
  • 15 篇 school of automa...
  • 14 篇 southeast univer...
  • 13 篇 key laboratory o...
  • 13 篇 school of automa...
  • 12 篇 national key lab...
  • 12 篇 state key labora...
  • 11 篇 ieee
  • 11 篇 southeast univer...
  • 11 篇 southeast univer...
  • 11 篇 school of automa...

作者

  • 67 篇 shihua li
  • 46 篇 li shihua
  • 42 篇 lu xiaobo
  • 37 篇 xiaobo lu
  • 29 篇 shumin fei
  • 26 篇 changyin sun
  • 26 篇 ding liu
  • 23 篇 ya zhang
  • 21 篇 xiangyu wang
  • 19 篇 kanjian zhang
  • 19 篇 da feipeng
  • 19 篇 fei shumin
  • 18 篇 haikun wei
  • 17 篇 fang fang
  • 17 篇 jun yang
  • 16 篇 xianzhong dai
  • 15 篇 yang jie
  • 14 篇 dai xianzhong
  • 14 篇 kaifeng zhang
  • 14 篇 hong-sen yan

语言

  • 1,093 篇 英文
  • 77 篇 其他
  • 47 篇 中文
检索条件"机构=Key Laboratory of Measurement and Control of Complex system of Engineering"
1217 条 记 录,以下是1-10 订阅
排序:
Geometry-aware 3D pose transfer using transformer autoencoder
收藏 引用
Computational Visual Media 2024年 第6期10卷 1063-1078页
作者: Shanghuan Liu Shaoyan Gai Feipeng Da Fazal Waris Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing210096China
3D pose transfer over unorganized point clouds is a challenging generation task,which transfers a source’s pose to a target shape and keeps the target’s *** deep models have learned deformations and used the target... 详细信息
来源: 评论
A Degeneracy-Aware LiDAR-Inertial-Visual SLAM for Degenerate Environments
收藏 引用
IEEE Sensors Journal 2025年 第11期25卷 19376-19385页
作者: Zhu, Hongwei Zhang, Guobao Huang, Yongming Southeast University School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
Different sensors may experience degeneracy in specific scenarios, which can lead to failures in multi-sensor fusion optimization. To address the challenges of localization and mapping under such degeneracy conditions... 详细信息
来源: 评论
Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal control
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2024年 第9期11卷 1987-1998页
作者: Yisha Li Ya Zhang Xinde Li Changyin Sun School of Automation Southeast UniversityNanjing 210096 Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China
This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system.A novel regional multi-agent cooperative reinforcement learning algorithm called RegionSTLight... 详细信息
来源: 评论
Sensorless control of PMSM Drives Using Octant Newton-Raphson Method and Reduced-Order EKF Considering Speed Reversal and Noise
收藏 引用
IEEE Transactions on Power Electronics 2025年 第8期40卷 10793-10803页
作者: Xiang, Fuyuan Yu, Ke Chen, Congyan Li, Shihua Southeast University School of Automation and the Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China
For back electromotive force-based sensorless control in permanent magnet synchronous motor (PMSM) drives, the conventional phase-locked loop (PLL) exhibits a ±π position estimation error during speed reversal. ... 详细信息
来源: 评论
Disturbance Observer-based Pointing control of Leighton Chajnantor Telescope
收藏 引用
Research in Astronomy and Astrophysics 2024年 第1期24卷 135-150页
作者: Weirui Chen Zheng Wang School of Automation Southeast UniversityNanjing 210096China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China
Leighton Chajnantor Telescope(LCT), i.e., the former Caltech Submillimeter Observatory telescope, will be refurbished at the new site in Chajnantor Plateau, Chile in 2023. The environment of LCT will change significan... 详细信息
来源: 评论
Balanced prioritized experience replay in off-policy reinforcement learning
收藏 引用
Neural Computing and Applications 2024年 第25期36卷 15721-15737页
作者: Lou, Zhouwei Wang, Yiye Shan, Shuo Zhang, Kanjian Wei, Haikun Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China School of Automation Southeast University Nanjing210096 China
In Off-Policy reinforcement learning (RL), the experience imbalance problem can affect learning performance. The experience imbalance problem refers to the phenomenon that the experiences obtained by the agent during ... 详细信息
来源: 评论
Efficient Circuit Diagram Retrieval via Graph Representation
Efficient Circuit Diagram Retrieval via Graph Representation
收藏 引用
2024 China Automation Congress, CAC 2024
作者: Gao, Ming Chen, Hongcai Zhang, Kanjian Wei, Haikun Key Laboratory of Measurement and Control of Complex System Ministry of Education School of Automation Southeast University Nanjing China
In the field of electronic engineering, the retrieval of circuit diagrams has become an area of considerable research interest. This is attributed to the critical role it plays in consulting legacy electronic designs ... 详细信息
来源: 评论
Parallel system Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective control
收藏 引用
CSEE Journal of Power and Energy systems 2024年 第1期10卷 13-28页
作者: Tianyun Zhang Jun Zhang Feiyue Wang Peidong Xu Tianlu Gao Haoran Zhang Ruiqi Si School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072HubeiChina State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China
In artificial intelligence(AI)based-complex power system management and control technology,one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence ***,there is,currently,near... 详细信息
来源: 评论
BeltLineNet: A Shape-Prior-Guided Lightweight Network for Real-Time Deviation Detection in Circular Pipe Conveyors
收藏 引用
IEEE Sensors Journal 2025年 第11期25卷 20024-20036页
作者: Zhao, Long Su, Jinhui Zhong, Yusheng Xie, Weiwei Su, Jinya Chen, Xisong Chen, Congyan Li, Shihua Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Nanjing210096 China Fujian Longking Intelligent Conveying Engineering Co. Ltd Longyan China
Belt deviation in circular pipe conveyor systems could lead to material spillage, environmental contamination, reduced efficiency, and accelerated belt wear. Real-time belt deviation detection is crucial for ensuring ... 详细信息
来源: 评论
Self-supervised Depth Completion with Adaptive Online Adaptation  23
Self-supervised Depth Completion with Adaptive Online Adapta...
收藏 引用
7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023
作者: Chen, Yang Tan, Yang Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China
Although depth completion has achieved remarkable performance relying on deep learning in recent years, these models tend to suffer a performance degradation when exposed to new environments. Online adaptation, where ... 详细信息
来源: 评论