咨询与建议

限定检索结果

文献类型

  • 494 篇 会议
  • 293 篇 期刊文献

馆藏范围

  • 787 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 602 篇 工学
    • 281 篇 控制科学与工程
    • 230 篇 软件工程
    • 199 篇 计算机科学与技术...
    • 179 篇 机械工程
    • 92 篇 电气工程
    • 72 篇 仪器科学与技术
    • 48 篇 电子科学与技术(可...
    • 45 篇 信息与通信工程
    • 42 篇 航空宇航科学与技...
    • 32 篇 交通运输工程
    • 28 篇 动力工程及工程热...
    • 22 篇 力学(可授工学、理...
    • 21 篇 生物工程
    • 16 篇 生物医学工程(可授...
    • 15 篇 化学工程与技术
    • 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
  • 245 篇 理学
    • 147 篇 数学
    • 108 篇 系统科学
    • 34 篇 统计学(可授理学、...
    • 28 篇 物理学
    • 18 篇 生物学
    • 11 篇 化学
  • 128 篇 管理学
    • 120 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
  • 10 篇 医学
    • 10 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...
  • 37 篇 state key labora...
  • 36 篇 key laboratory o...
  • 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

  • 68 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

  • 729 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"
787 条 记 录,以下是531-540 订阅
排序:
Neural network structure design based on N-gauss activation function1
arXiv
收藏 引用
arXiv 2021年
作者: Lu, Xiangri Ma, Hongbin Zhang, Jingcheng State Key Laboratory of Intelligent Decision and Control for Complex Systems Beijing Institute ofTechnology Beijing China Institute of Pattern Recognition and Intelligent Systems School of Automation Beijing Institute ofTechnology China Institute of Navigation Guidance and Control School of Automation Beijing Institute of
Recent work has shown that the activation function of the convolutional neural network can meet the Lipschitz condition, then the corresponding convolutional neural network structure can be constructed according to th... 详细信息
来源: 评论
control of Spatially Interconnected systems with Random Communication Losses
收藏 引用
Acta Automatica Sinica 2010年 第2期36卷 258-266页
作者: Hui LI Qing-He WU Huang HUANG School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P. R. China
This paper deals with analysis and synthesis problems of spatially interconnected systems where communicated information may get lost between subsystems. Spatial shift operator and temporal forward shift operator are ... 详细信息
来源: 评论
A Two-stage ARMAX Identification Approach Based on Bias-eliminated Least Squares and Parameter Relationship between MA Process and Its Inverse
收藏 引用
Acta Automatica Sinica 2012年 第3期38卷 491-496页
作者: Bin XIN Jie CHEN 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 University of Manchester M15 6PB Manchester UK
In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with ex... 详细信息
来源: 评论
A Memetic Algorithm for Curvature-Constrained Path Planning of Messenger UAV in Air-Ground Coordination
A Memetic Algorithm for Curvature-Constrained Path Planning ...
收藏 引用
IEEE International Conference on systems, Man and Cybernetics
作者: Yulong Ding Bin Xin Hao Zhang Jie Chen School of Automation Beijing Institute of Technology Beijing China Peng Cheng Laboratory Shenzhen China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China
This paper addresses a UAV path planning problem for a team of cooperating heterogeneous vehicles composed of one unmanned aerial vehicle (UAV) and multiple unmanned ground vehicles (UGVs). The UGVs are used as mobile... 详细信息
来源: 评论
Adaptive sliding mode control of electromechanical actuator with improved parameter estimation
Adaptive sliding mode control of electromechanical actuator ...
收藏 引用
Asian control Conference
作者: Hao Li Yongqiang Bai Zhong Su School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China
An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertaint... 详细信息
来源: 评论
A NSGA-Ⅱ based Peak Load Shifting Optimization Method for Customers with Distributed Generators Considering Time-of-use Price
A NSGA-Ⅱ based Peak Load Shifting Optimization Method for C...
收藏 引用
第37届中国控制会议
作者: Hao Zhou Min Ding Bo Hu Qingyi Wang Zhili Tan Danyun li School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System State Grid Energy Research Institute Co. LTD.
With the extensive use of distributed generation, the traditional demand response analysis cannot meet the current *** paper proposes a NSGA-II based peak load shifting optimization method for customers with distribut... 详细信息
来源: 评论
Event-based state estimation of discrete-state hidden Markov models
Event-based state estimation of discrete-state hidden Markov...
收藏 引用
作者: Shi, Dawei Elliott, Robert J. Chen, Tongwen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China School of Mathematical Sciences University of Adelaide SA5005 Australia Haskayne School of Business University of Calgary CalgaryAB Canada Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada
The state estimation problem for hidden Markov models subject to event-based sensor measurement updates is considered in this work, using the change of probability approach. We assume the measurement updates are trans... 详细信息
来源: 评论
Improving performance of robots using human-inspired approaches: a survey
收藏 引用
Science China(Information Sciences) 2022年 第12期65卷 5-35页
作者: Hong QIAO Shanlin ZHONG Ziyu CHEN Hongze WANG State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Artifcial Intelligence University of Chinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology
Realizing high performance of ordinary robots is one of the core problems in robotic research. Improving the performance of ordinary robots usually relies on the collaborative development of multiple research fields, ... 详细信息
来源: 评论
Cooperative output regulation for networked multi-agent systems based on the self-tuning adaptive distributed observer
Cooperative output regulation for networked multi-agent syst...
收藏 引用
American control Conference
作者: Yi Dong Jie Chen Jie Huang Department of Automation Nanjing University of Science and Technology China The State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology China Department of Mechanical and Automation Engineering the Chinese University of Hong Kong HK
In this paper, we first propose a self-tuning adaptive distributed observer for a multi-agent system, which is capable of providing the estimation of the leader's signal to various followers without assuming all t... 详细信息
来源: 评论
Model Free Adaptive control Algorithm based on ReOSELM for Autonomous Driving Vehicles
Model Free Adaptive Control Algorithm based on ReOSELM for A...
收藏 引用
第40届中国控制会议
作者: Xiaofei Zhang Hongbin Ma Zhichao Wang Mingyu Fan Bolin Zhao School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology The College of Computer Science and Artificial Intelligence Wenzhou University
Different road conditions and dynamic environment bring significant challenges to the control system of autonomous driving vehicle(ADV). As is known, historical data collected from ADV contains valuable information ... 详细信息
来源: 评论