咨询与建议

限定检索结果

文献类型

  • 4,476 篇 会议
  • 1,765 篇 期刊文献

馆藏范围

  • 6,241 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 4,106 篇 工学
    • 1,501 篇 计算机科学与技术...
    • 1,469 篇 软件工程
    • 1,326 篇 控制科学与工程
    • 961 篇 电气工程
    • 880 篇 机械工程
    • 564 篇 电子科学与技术(可...
    • 489 篇 信息与通信工程
    • 407 篇 仪器科学与技术
    • 405 篇 动力工程及工程热...
    • 229 篇 交通运输工程
    • 229 篇 生物工程
    • 201 篇 化学工程与技术
    • 200 篇 光学工程
    • 186 篇 材料科学与工程(可...
    • 167 篇 力学(可授工学、理...
    • 158 篇 安全科学与工程
    • 155 篇 航空宇航科学与技...
    • 138 篇 生物医学工程(可授...
    • 128 篇 土木工程
    • 92 篇 冶金工程
  • 2,101 篇 理学
    • 1,156 篇 数学
    • 583 篇 物理学
    • 478 篇 系统科学
    • 335 篇 统计学(可授理学、...
    • 253 篇 生物学
    • 186 篇 化学
  • 784 篇 管理学
    • 656 篇 管理科学与工程(可...
    • 186 篇 工商管理
    • 129 篇 图书情报与档案管...
  • 111 篇 医学
    • 93 篇 临床医学
  • 91 篇 经济学
  • 74 篇 法学
  • 44 篇 教育学
  • 36 篇 军事学
  • 29 篇 农学
  • 19 篇 艺术学
  • 7 篇 文学
  • 4 篇 历史学

主题

  • 156 篇 feature extracti...
  • 118 篇 mathematical mod...
  • 115 篇 optimization
  • 113 篇 training
  • 110 篇 stability analys...
  • 99 篇 accuracy
  • 93 篇 predictive model...
  • 92 篇 simulation
  • 90 篇 control systems
  • 88 篇 computational mo...
  • 84 篇 real-time system...
  • 76 篇 analytical model...
  • 72 篇 power system sta...
  • 71 篇 automation
  • 71 篇 uncertainty
  • 70 篇 deep learning
  • 63 篇 data models
  • 61 篇 neural networks
  • 61 篇 visualization
  • 58 篇 trajectory

机构

  • 878 篇 hubei key labora...
  • 796 篇 school of automa...
  • 388 篇 engineering rese...
  • 289 篇 school of automa...
  • 203 篇 key laboratory o...
  • 197 篇 science and tech...
  • 137 篇 tianjin key labo...
  • 111 篇 shanghai enginee...
  • 108 篇 department of au...
  • 106 篇 national demonst...
  • 101 篇 key laboratory o...
  • 89 篇 guangdong provin...
  • 82 篇 qingdao academy ...
  • 76 篇 key laboratory o...
  • 75 篇 key laboratory o...
  • 62 篇 beijing electro-...
  • 62 篇 key laboratory o...
  • 56 篇 csg key laborato...
  • 56 篇 state key labora...
  • 56 篇 state key labora...

作者

  • 159 篇 min wu
  • 81 篇 weihua cao
  • 80 篇 fei-yue wang
  • 77 篇 junzheng wang
  • 74 篇 jie chen
  • 69 篇 jinhua she
  • 67 篇 wu min
  • 62 篇 chen jie
  • 54 篇 xin chen
  • 52 篇 wang fei-yue
  • 47 篇 xiangdong liu
  • 46 篇 hengxu zhang
  • 45 篇 yuanqing xia
  • 42 篇 yong he
  • 42 篇 jian sun
  • 40 篇 luefeng chen
  • 38 篇 zhang hengxu
  • 38 篇 cao weihua
  • 38 篇 yutian liu
  • 37 篇 chengda lu

语言

  • 5,954 篇 英文
  • 156 篇 中文
  • 134 篇 其他
  • 2 篇 法文
  • 1 篇 德文
检索条件"机构=Key Laboratory of Complex System Intelligent Control"
6241 条 记 录,以下是181-190 订阅
排序:
Stability Analysis of Networked control systems with Aperiodic Sampling and Time-Varying Delay
收藏 引用
IEEE Transactions on Cybernetics 2017年 第8期47卷 2312-2320页
作者: Chen, Jie Meng, Su Sun, Jian Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China
This paper addresses the stability of networked control systems with aperiodic sampling and time-varying network-induced delay. The sampling intervals are assumed to vary within a known interval. The transmission dela... 详细信息
来源: 评论
A Task Assignment Scheme Designed for Online Urban Sensing Based on Sparse Mobile Crowdsensing
收藏 引用
IEEE Internet of Things Journal 2025年
作者: Zeng, Hongjian Xiong, Yonghua She, Jinhua Yu, Anjun China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China Tokyo University of Technology School of Engineering Hachioji Tokyo192-0982 Japan Jiangxi Ganyue Expressway Co. Ltd Jiangxi Nanchang330000 China
Sparse Mobile Crowdsensing (SMCS) achieves urban-scale environmental sensing by assigning tasks to workers in specific subareas and inferring global data from the collected information. However, the effectiveness of S... 详细信息
来源: 评论
Multi-objective Evolutionary Algorithm Based Graph Neural Network Architecture Search  11th
Multi-objective Evolutionary Algorithm Based Graph Neural Ne...
收藏 引用
11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024
作者: He, Lianyi Liu, Xiaobo Xiang, Hongbo Wang, Guangjun School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of Geosciences Wuhan430074 China
Graph Neural Networks (GNN) has become a powerful graph data processing method, which has been widely used in node classification, link prediction, and other graph analysis tasks. Due to the diversity and complexity o... 详细信息
来源: 评论
Stabilization of linear systems with multiple unknown time-varying input delays by linear time-varying feedback
arXiv
收藏 引用
arXiv 2025年
作者: Zhou, Bin Zhang, Kai Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin150001 China
This paper addresses the stabilization of linear systems with multiple time-varying input delays. In scenarios where neither the exact delays information nor their bound is known, we propose a class of linear time-var... 详细信息
来源: 评论
Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention  26
Multimodal Emotion Recognition Based on Multi-Scale Facial F...
收藏 引用
26th International Conference on Industrial Technology, ICIT 2025
作者: Bao, Chengao Chen, Luefeng Li, Min Wu, Min Pedrycz, Witold Hirota, Kaoru School of Automation China University of Geosciences Wuhan430074 China School of Automation Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada Tokyo Institute of Technology Yokohama226-8502 Japan Tokyo Institute of Technology Tokyo226-8502 Japan
A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branc... 详细信息
来源: 评论
Moving object detection in framework of compressive sampling
收藏 引用
Journal of systems Engineering and Electronics 2010年 第5期21卷 740-745页
作者: Jing Li JunzhengWang Wei Shen Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 P. R. China
Compressive sensing is a revolutionary idea proposed recently to achieve much lower sampling rate for *** the image application with limited resources the camera data can be stored and processed in compressed *** algo... 详细信息
来源: 评论
Positioning accuracy of IGPS
收藏 引用
Journal of Harbin Institute of Technology(New Series) 2010年 第2期17卷 219-224页
作者: 于淼 陈杰 窦丽华 甘明刚 School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education
The positioning accuracy of a short-haul target-locating system,the inverse-GPS(IGPS) ,was analyzed in detail. The relationship between IGPS and the positioning error was discussed. The multiplicative error minimal bo... 详细信息
来源: 评论
Optimal fusion estimation for stochastic systems with cross-correlated sensor noises
收藏 引用
Science China(Information Sciences) 2017年 第12期60卷 57-70页
作者: Liping YAN Yuanqing XIA Mengyin FU School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology
This paper is concerned with the optimal fusion of sensors with cross-correlated sensor *** taking linear transformations to the measurements and the related parameters, new measurement models are established, where t... 详细信息
来源: 评论
Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects
收藏 引用
Journal of systems Engineering and Electronics 2013年 第4期24卷 655-665页
作者: Fang Deng Jie Chen Chen Chen School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems
An adaptive unscented Kalman filter (AUKF) and an augmented state method are employed to estimate the timevarying parameters and states of a kind of nonlinear high-speed objects. A strong tracking filter is employed... 详细信息
来源: 评论
Adaptive Robust Dead-Zone Compensation control of Electro-Hydraulic Servo systems with Load Disturbance Rejection
收藏 引用
Journal of systems Science & complexity 2015年 第2期28卷 341-359页
作者: HE Yudong WANG Junzheng HAO Renjian Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology
A backstepping method based adaptive robust dead-zone compensation controller is pro- posed for the electro-hydraulic servo systems (EHSSs) with unknown dead-zone and uncertain system parameters. Variable load is se... 详细信息
来源: 评论