咨询与建议

限定检索结果

文献类型

  • 1,385 篇 会议
  • 802 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 2,188 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,486 篇 工学
    • 563 篇 计算机科学与技术...
    • 520 篇 控制科学与工程
    • 514 篇 软件工程
    • 294 篇 机械工程
    • 208 篇 电子科学与技术(可...
    • 207 篇 电气工程
    • 207 篇 信息与通信工程
    • 148 篇 仪器科学与技术
    • 108 篇 航空宇航科学与技...
    • 104 篇 交通运输工程
    • 97 篇 生物工程
    • 86 篇 化学工程与技术
    • 84 篇 光学工程
    • 76 篇 力学(可授工学、理...
    • 76 篇 材料科学与工程(可...
    • 73 篇 动力工程及工程热...
    • 60 篇 生物医学工程(可授...
    • 51 篇 土木工程
    • 50 篇 安全科学与工程
    • 38 篇 建筑学
  • 824 篇 理学
    • 440 篇 数学
    • 218 篇 物理学
    • 198 篇 系统科学
    • 120 篇 统计学(可授理学、...
    • 111 篇 生物学
    • 86 篇 化学
  • 290 篇 管理学
    • 229 篇 管理科学与工程(可...
    • 58 篇 图书情报与档案管...
    • 51 篇 工商管理
  • 51 篇 医学
    • 39 篇 临床医学
  • 24 篇 法学
  • 23 篇 经济学
  • 22 篇 军事学
  • 12 篇 农学
  • 9 篇 教育学
  • 6 篇 艺术学
  • 2 篇 文学
  • 1 篇 历史学

主题

  • 43 篇 control systems
  • 43 篇 feature extracti...
  • 39 篇 mathematical mod...
  • 35 篇 optimization
  • 31 篇 robustness
  • 30 篇 computational mo...
  • 30 篇 training
  • 27 篇 reinforcement le...
  • 27 篇 automation
  • 27 篇 uncertainty
  • 27 篇 accuracy
  • 26 篇 object detection
  • 26 篇 simulation
  • 26 篇 unmanned aerial ...
  • 26 篇 analytical model...
  • 25 篇 deep learning
  • 25 篇 target tracking
  • 25 篇 trajectory
  • 23 篇 stability analys...
  • 22 篇 real-time system...

机构

  • 197 篇 science and tech...
  • 127 篇 school of automa...
  • 73 篇 hubei key labora...
  • 70 篇 school of automa...
  • 63 篇 beijing electro-...
  • 51 篇 shaanxi key labo...
  • 46 篇 key laboratory o...
  • 36 篇 shaanxi key labo...
  • 34 篇 engineering rese...
  • 32 篇 qingdao academy ...
  • 27 篇 tianjin key labo...
  • 26 篇 key laboratory o...
  • 26 篇 intelligent syst...
  • 25 篇 heilongjiang pro...
  • 25 篇 key laboratory o...
  • 24 篇 key laboratory o...
  • 24 篇 science and tech...
  • 23 篇 ieee
  • 23 篇 school of automa...
  • 22 篇 shaanxi key labo...

作者

  • 62 篇 chen jie
  • 49 篇 jie chen
  • 40 篇 junzheng wang
  • 40 篇 hao mingrui
  • 32 篇 fei-yue wang
  • 29 篇 xu cheng
  • 27 篇 ding liu
  • 26 篇 jian sun
  • 25 篇 jing li
  • 23 篇 gang xiong
  • 22 篇 mingrui hao
  • 21 篇 jun hu
  • 21 篇 cheng xu
  • 19 篇 chen chen
  • 19 篇 qiang huang
  • 17 篇 sun jian
  • 17 篇 ren hai-peng
  • 17 篇 zhao jiajia
  • 16 篇 tong jiahui
  • 16 篇 wang fei-yue

语言

  • 2,047 篇 英文
  • 86 篇 中文
  • 55 篇 其他
检索条件"机构=Science and Technology on Complex System Control and Intelligent"
2188 条 记 录,以下是2011-2020 订阅
排序:
T-S fuzzy observer for nonlinear magnetic levitation system with uncertain variable friction coefficient
收藏 引用
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (science and technology) 2011年 第SUPPL. 1期42卷 114-118页
作者: Zhou, Li-Jie Guo, Shu-Li Gao, Zhe School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex system Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China
An adaptive fuzzy observer for nonlinear magnetic levitation system with uncertain friction coefficient is proposed. First, a T-S fuzzy model of the nonlinear magnetic levitation system is proposed. An observer is giv... 详细信息
来源: 评论
Mobile robot's electronic compass calibration based on modified Fourier Neural Network
Mobile robot's electronic compass calibration based on modif...
收藏 引用
IEEE Conference on Robotics, Automation and Mechatronics
作者: Gong Kun Deng Fang Ma Tao Gong Kun is with School of Automation Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Deng Fang is with School of Automation Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Ma Tao is with School of Automation Beijing Institute of Technology and Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China
In order to improve the precision of the azimuth measured by mobile robot's electronic compass, this paper proposes a new calibration method based on Fourier Neural Network trained by Modified Particle Swarm Optim... 详细信息
来源: 评论
The application and issuse of linear wireless sensor networks
The application and issuse of linear wireless sensor network...
收藏 引用
International Conference on system science, Engineering Design and Manufacturing Informatization (ICSEM)
作者: Zhengjie Wang Xiaoguang Zhao Xu Qian School of Mechanical Electronic & Info. Engineering China University of Mining & Technology (Beijing) Beijing China College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing China
Wireless sensor networks consist of a large number of sensor nodes that have low power and limited transmission range and can be used in various scenario. The nodes can be deployed in the long and narrow region, such ... 详细信息
来源: 评论
A novel type of trigonometric neural network trained by Extended Kalman Filter
A novel type of trigonometric neural network trained by Exte...
收藏 引用
International Workshop on Advanced Computational Intelligence (IWACI)
作者: M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran
In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison ... 详细信息
来源: 评论
Object tracking based on multi-bandwidth mean shift with convergence acceleration
Object tracking based on multi-bandwidth mean shift with con...
收藏 引用
2nd International Conference on Image Analysis and Signal Processing, IASP'2010
作者: Bin, Zhou Jun-Zheng, Wang Wei, Shen Key Laboratory of Complex System Intelligent Control and Decision School of Automatic Control Beijing Institute of Technology Beijing China
A multi-bandwidth based tracking algorithm was proposed to search for the global kernel mode when the probability density has multiple peak modes. Firstly, a monotonically decreasing sequence of bandwidths was fixed a... 详细信息
来源: 评论
An adaptive hybrid optimizer based on particle swarm and differential evolution for global optimization
收藏 引用
science China(Information sciences) 2010年 第5期53卷 980-989页
作者: XIN Bin 1,2 ? , CHEN Jie 1,2* , PENG ZhiHong 1,2 & PAN Feng 1,2 1 School of Automation, Beijing Institute of technology, Beijing 100081, China 2 Key Laboratory of complex system intelligent control and Decision, Ministry of Education, Beijing 100081, China 1. School of Automation Beijing Institute of Technology Beijing 100081 China2. Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China
This paper presents extensive experiments on a hybrid optimization algorithm (DEPSO) we recently developed by combining the advantages of two powerful population-based metaheuristics—differential evolution (DE) and p... 详细信息
来源: 评论
Robust filtering for networked systems with random transmission delays and packet dropouts
Robust filtering for networked systems with random transmiss...
收藏 引用
作者: Cai, Yunze Wang, Hua O. Tanaka, Kazuo Xu, Xiaoming Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing 800 Dongchuan Rd. Shanghai 200240 China Department of Mechanical Engineering Boston University Boston MA 02215 United States Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 China University of Shanghai for Science and Technology 16 Jun Gong Rd. Shanghai 200093 China
This paper addresses a robust H∞ filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing r... 详细信息
来源: 评论
Rules-based autonomous obstacle avoidance for mobile robots
收藏 引用
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (science and technology) 2011年 第SUPPL. 1期42卷 493-497页
作者: Wang, Qi-Zhi Xu, De School of Computer Science and Information Technology Beijing Jiaotong University Beijing 100044 China Key Laboratory of Intelligent Control of Complex Systems Institute of Automation Chinese Acad. of Sci. Beijing 100080 China
A real time and autonomous obstacle avoidance method based on rules for mobile robots was presented. Wall- along algorithm was dynamically implemented in unknown environment without collision. The results show that th... 详细信息
来源: 评论
Unsupervised Learning of Gaussian Mixture Model with Application to Image Segmentation
收藏 引用
电子学报(英文版) 2010年 第3期19卷 451-456页
作者: LI Bo LIU Wenju DOU Lihua School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China
Density estimation via Gaussian mixture modeling has been successfully applied to image segmentation, speech processing and other fields relevant to clustering analysis and Probability density function (PDF) modeling.... 详细信息
来源: 评论
Identification of interval models for a class of uncertain systems via linear programming
Identification of interval models for a class of uncertain s...
收藏 引用
作者: Zhang, Guozhu Chen, Jie Li, Zhiping Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology School of Automation Beijing 100081 China
The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing... 详细信息
来源: 评论