咨询与建议

限定检索结果

文献类型

  • 494 篇 会议
  • 290 篇 期刊文献

馆藏范围

  • 784 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 599 篇 工学
    • 280 篇 控制科学与工程
    • 229 篇 软件工程
    • 198 篇 计算机科学与技术...
    • 179 篇 机械工程
    • 90 篇 电气工程
    • 72 篇 仪器科学与技术
    • 48 篇 电子科学与技术(可...
    • 44 篇 信息与通信工程
    • 42 篇 航空宇航科学与技...
    • 33 篇 交通运输工程
    • 28 篇 动力工程及工程热...
    • 21 篇 力学(可授工学、理...
    • 20 篇 生物工程
    • 15 篇 化学工程与技术
    • 15 篇 生物医学工程(可授...
    • 13 篇 土木工程
    • 11 篇 安全科学与工程
    • 9 篇 建筑学
    • 8 篇 光学工程
  • 242 篇 理学
    • 145 篇 数学
    • 108 篇 系统科学
    • 33 篇 统计学(可授理学、...
    • 27 篇 物理学
    • 17 篇 生物学
    • 11 篇 化学
  • 126 篇 管理学
    • 119 篇 管理科学与工程(可...
    • 26 篇 工商管理
  • 13 篇 军事学
  • 12 篇 法学
    • 9 篇 社会学
  • 10 篇 经济学
    • 10 篇 应用经济学
  • 9 篇 医学
    • 9 篇 临床医学
  • 4 篇 农学
  • 2 篇 教育学
  • 2 篇 艺术学

主题

  • 16 篇 state estimation
  • 15 篇 mathematical mod...
  • 13 篇 target tracking
  • 13 篇 feature extracti...
  • 13 篇 robustness
  • 12 篇 attitude control
  • 12 篇 uncertainty
  • 12 篇 training
  • 10 篇 optimization
  • 10 篇 adaptive control
  • 9 篇 motion planning
  • 9 篇 image segmentati...
  • 9 篇 sliding mode con...
  • 9 篇 backstepping
  • 9 篇 accuracy
  • 9 篇 adaptation model...
  • 8 篇 legged locomotio...
  • 8 篇 stability analys...
  • 8 篇 real-time system...
  • 8 篇 navigation

机构

  • 246 篇 school of automa...
  • 54 篇 state key labora...
  • 41 篇 key laboratory o...
  • 36 篇 key laboratory o...
  • 36 篇 state key labora...
  • 34 篇 key laboratory o...
  • 27 篇 key laboratory o...
  • 27 篇 school of artifi...
  • 20 篇 school of automa...
  • 19 篇 state key labora...
  • 18 篇 hubei key labora...
  • 16 篇 key laboratory o...
  • 16 篇 school of automa...
  • 16 篇 state key labora...
  • 15 篇 state key labora...
  • 15 篇 beijing institut...
  • 13 篇 ieee
  • 13 篇 state key labora...
  • 12 篇 school of automa...
  • 12 篇 beijing institut...

作者

  • 67 篇 chen jie
  • 57 篇 jie chen
  • 50 篇 junzheng wang
  • 35 篇 xiangdong liu
  • 31 篇 yuanqing xia
  • 25 篇 hongbin ma
  • 24 篇 jian sun
  • 22 篇 sun jian
  • 22 篇 fei-yue wang
  • 22 篇 xin bin
  • 22 篇 mengyin fu
  • 21 篇 chen chen
  • 21 篇 zhen li
  • 20 篇 liping yan
  • 19 篇 wang gang
  • 18 篇 bin xin
  • 16 篇 fang hao
  • 16 篇 liu xiangdong
  • 16 篇 gang xiong
  • 15 篇 zhihong peng

语言

  • 726 篇 英文
  • 51 篇 中文
  • 8 篇 其他
检索条件"机构=School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision"
784 条 记 录,以下是471-480 订阅
排序:
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking control of Quadrotors
arXiv
收藏 引用
arXiv 2023年
作者: Deng, Boyuan Sun, Jian Li, Zhuo Wang, Gang School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China
Continuous trajectory tracking control of quadrotors is complicated when considering noise from the environment. Due to the difficulty in modeling the environmental dynamics, tracking methodologies based on convention... 详细信息
来源: 评论
Ensemble of Extreme Learning Machines for Regression
Ensemble of Extreme Learning Machines for Regression
收藏 引用
Data Driven control and Learning systems (DDCLS)
作者: Atmane Khellal Hongbin Ma Qing Fei School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology China
Regression, as a particular task of machine learning, performs a vital part in data-driven modeling, by finding the connections between the system state variables without any explicit knowledge about the system, using... 详细信息
来源: 评论
An Introduction to Domain Adaptive Object Detection from Synthesis to Reality
An Introduction to Domain Adaptive Object Detection from Syn...
收藏 引用
第40届中国控制会议
作者: Zhijun Xue Wenjie Chen Jing Li State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center
In recent years,deep learning based object detection has achieved great *** methods typically assume that large amount of labeled training data is available,meanwhile,training and test data are independent and identic... 详细信息
来源: 评论
Action Recognition Algorithm based on 2D Human Pose Estimation Method
Action Recognition Algorithm based on 2D Human Pose Estimati...
收藏 引用
第40届中国控制会议
作者: Chongkai Yu Wenjie Chen Ye Li Chen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center
This paper presents an action recognition method based on 2D human body node data in video. This method uses the pose estimation algorithm to detect the human body node data in each frame of video information. We get ... 详细信息
来源: 评论
On Finite-Horizon Optimal control of First-Order Plus Time Delay systems
On Finite-Horizon Optimal Control of First-Order Plus Time D...
收藏 引用
第27届中国控制与决策会议
作者: Dawei Shi Tongwen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Department of Electrical and Computer Engineering University of Alberta
In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control... 详细信息
来源: 评论
A Unified Framework Integrating decision Making and Trajectory Planning Based on Spatio-Temporal Voxels for Highway Autonomous Driving
收藏 引用
IEEE Transactions on intelligent Transportation systems 2022年 第8期23卷 10365-10379页
作者: Zhang, Ting Song, Wenjie Fu, Mengyin Yang, Yi Tian, Xiaohui Wang, Meiling Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China Nanjing University of Science and Technology School of Automation Nanjing210014 China
intelligent decision making and efficient trajectory planning are closely related in autonomous driving technology, especially in highway environment full of dynamic interactive traffic participants. This work integra... 详细信息
来源: 评论
Adaptive object tracking based on vision sensor and milli-meter wave radar
收藏 引用
Journal of Computational Information systems 2014年 第8期10卷 3283-3290页
作者: Jin, Lu Fu, Mengyin Yang, Yi Key Laboratory of Intelligent Control and Decision of Complex Systems Ministry of Education Beijing 100081 China School of Automation Beijing Institute of Technology Beijing 100081 China
The object tracking for driver assistant system by the multi-sensors fusion has drawn much attention recently. With the complexity of space alignment, a new space alignment algorithm is proposed to project the object ... 详细信息
来源: 评论
Model Compression Based on YOLOv3 Object Detection Algorithm from the Perspective of UAV
Model Compression Based on YOLOv3 Object Detection Algorithm...
收藏 引用
第40届中国控制会议
作者: Bing Wu Zhijun Xue Wenjie Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center
Recently,unmanned aerial vehicles are widely used in surveillance,aerial photography,power grid line inspections and other *** order to deploy the YOLOv3[1] algorithm on drones,it is necessary to adopt the YOLOv3 algo... 详细信息
来源: 评论
Study on Displacement control of the Pneumatic Muscle Actuator Basing on Model-Free Adaptive control with Nonlinear Feedback
Study on Displacement Control of the Pneumatic Muscle Actuat...
收藏 引用
International Conference on Measuring Technology and Mechatronics automation, ICMTMA
作者: Liu Yu Wang Tao Zhao Tong Fan Wei Liu Hao School of Automation Complicated System of Intelligent Control and Decision Key Laboratory of Education Ministry Beijing Institute of Technology Beijing China
Since the Pneumatic Muscle Actuator (PMA) has the characteristic of strong nonlinear and time lags, it is difficult to establish a precise mathematical mode. Model-Free Adaptive control (MFAC) is an advanced control a... 详细信息
来源: 评论
Two-stage ARMAX parameter identification based on bias-eliminated least squares estimation and Durban's method
收藏 引用
Zidonghua Xuebao/Acta Automatica Sinica 2012年 第3期38卷 491-496页
作者: Xin, Bin Bai, Yong-Qiang Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School The University of Manchester Manchester M15 6PB United Kingdom
This paper proposes a two-stage identification approach for the parameter identification of autoregressive moving average with exogenous variable (ARMAX) model. First, a bias-eliminated least squares method is employe... 详细信息
来源: 评论