咨询与建议

限定检索结果

文献类型

  • 1,654 篇 会议
  • 520 篇 期刊文献

馆藏范围

  • 2,174 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,474 篇 工学
    • 612 篇 软件工程
    • 547 篇 计算机科学与技术...
    • 544 篇 控制科学与工程
    • 416 篇 机械工程
    • 213 篇 电气工程
    • 176 篇 电子科学与技术(可...
    • 156 篇 仪器科学与技术
    • 132 篇 信息与通信工程
    • 74 篇 生物工程
    • 65 篇 交通运输工程
    • 59 篇 化学工程与技术
    • 54 篇 动力工程及工程热...
    • 53 篇 光学工程
    • 51 篇 生物医学工程(可授...
    • 40 篇 冶金工程
    • 39 篇 土木工程
    • 37 篇 地质资源与地质工...
    • 36 篇 材料科学与工程(可...
    • 34 篇 航空宇航科学与技...
    • 33 篇 建筑学
  • 635 篇 理学
    • 351 篇 数学
    • 222 篇 系统科学
    • 126 篇 物理学
    • 99 篇 统计学(可授理学、...
    • 77 篇 生物学
    • 41 篇 化学
  • 306 篇 管理学
    • 261 篇 管理科学与工程(可...
    • 46 篇 工商管理
    • 45 篇 图书情报与档案管...
  • 38 篇 医学
    • 35 篇 临床医学
  • 29 篇 经济学
  • 21 篇 法学
  • 15 篇 农学
  • 14 篇 教育学
  • 14 篇 艺术学
  • 8 篇 军事学
  • 5 篇 文学

主题

  • 62 篇 feature extracti...
  • 58 篇 training
  • 42 篇 mathematical mod...
  • 41 篇 predictive model...
  • 40 篇 stability analys...
  • 40 篇 control systems
  • 39 篇 neural networks
  • 39 篇 optimization
  • 37 篇 automation
  • 34 篇 deep learning
  • 29 篇 simulation
  • 29 篇 accuracy
  • 27 篇 data models
  • 26 篇 delays
  • 26 篇 trajectory
  • 26 篇 adaptation model...
  • 25 篇 state estimation
  • 24 篇 computational mo...
  • 23 篇 linear matrix in...
  • 23 篇 prediction algor...

机构

  • 877 篇 hubei key labora...
  • 806 篇 school of automa...
  • 396 篇 engineering rese...
  • 172 篇 school of automa...
  • 75 篇 key laboratory o...
  • 73 篇 qingdao academy ...
  • 61 篇 state key labora...
  • 55 篇 state key labora...
  • 53 篇 the state key la...
  • 53 篇 state key labora...
  • 52 篇 key laboratory o...
  • 50 篇 school of artifi...
  • 45 篇 ministry of educ...
  • 43 篇 state key labora...
  • 43 篇 school of automa...
  • 43 篇 the state key la...
  • 42 篇 school of engine...
  • 41 篇 china university...
  • 38 篇 hubei key labora...
  • 36 篇 state key labora...

作者

  • 159 篇 min wu
  • 82 篇 weihua cao
  • 78 篇 fei-yue wang
  • 70 篇 jinhua she
  • 70 篇 xin chen
  • 62 篇 wu min
  • 54 篇 gang xiong
  • 51 篇 luefeng chen
  • 48 篇 yuanqing xia
  • 47 篇 wang fei-yue
  • 43 篇 chen jie
  • 42 篇 yong he
  • 38 篇 chengda lu
  • 38 篇 cao weihua
  • 36 篇 chuan-ke zhang
  • 34 篇 jie chen
  • 33 篇 liping yan
  • 32 篇 xiong gang
  • 31 篇 xiangdong liu
  • 30 篇 jianqi an

语言

  • 2,105 篇 英文
  • 46 篇 其他
  • 27 篇 中文
  • 1 篇 法文
检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems"
2174 条 记 录,以下是361-370 订阅
排序:
Dynamic Analysis and control of Fractional Order Memristor Hopfield Neural Network  42
Dynamic Analysis and Control of Fractional Order Memristor H...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Liu, Feng Cai, Gang Zhou, Feifan Wang, Wei Wang, Hua Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan4300748 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China
In this paper, a novel smooth magnetron is introduced to construct a fractional memristor Hopfield neural network (fractional order M-HNN). The local stability of equilibrium point are analyzed theoretically. Taking t... 详细信息
来源: 评论
Prediction Method of Truck Travel Time in Open Pit Mines Based on LSTM Model  42
Prediction Method of Truck Travel Time in Open Pit Mines Bas...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Ao, Mengting Li, Changhe Yang, Shengxiang School of Automation China University of Geosciences 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 School of Computer Science and Informatics De Montfort University LeicesterLE1 9BH United Kingdom
Aiming at the prediction of truck travel time in open pit mines, we established a prediction model based on long short-term memory(LSTM). This model fully accounts for 11 factors, including the nature of trucks, weath... 详细信息
来源: 评论
Stability and Bifurcation control of Fractional BAM Neural Networks with Diffusion and Time Delays  42
Stability and Bifurcation control of Fractional BAM Neural N...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Liu, Feng Wang, Wei Cai, Gang Zhou, Feifan Wang, Hua O Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China
Based on fractional calculus theory and reaction-diffusion equation theory, a fractional-order time-delay reaction-diffusion neural network with Neumann boundary conditions is investigated. By constructing the phase s... 详细信息
来源: 评论
Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises  42
Design and Application of a One-Stop Mobile Application Shar...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Chen, Xinzhe Chen, Luefeng Hu, Jie Yang, Qingfeng Wu, Min Pedrycz, Witold 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 University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada
As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of... 详细信息
来源: 评论
Equivalent input disturbance-based load frequency control for smart grid with air conditioning loads
收藏 引用
Science China(Information Sciences) 2022年 第2期65卷 106-123页
作者: Li JIN Yong HE Chuan-Ke ZHANG Xing-Chen SHANGGUAN Lin JIANG Min WU School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical Engineering and Electronics University of Liverpool Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education
Integrating intermittent wind power into power systems results in low or zero inertia, threatening their frequency stability. To accommodate intermittent generations, the demand response(DR) is introduced, and air con... 详细信息
来源: 评论
Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2023年 第4期10卷 957-968页
作者: Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China
Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the... 详细信息
来源: 评论
Stability and Bifurcation control of Fractional-Order Coupled Hindmarsh-Rose Neural Networks  42
Stability and Bifurcation Control of Fractional-Order Couple...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Liu, Feng Zhou, Feifan Wang, Wei Cai, Gang Wang, Hua O Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China
This article investigates a fractional-order coupled Hindmarsh-Rose neural networks model. Firstly, the existence and stability of an equilibrium point in the system are verified. Then, the periodic bifurcation behavi... 详细信息
来源: 评论
Full Attention Tracker: A Good Combination of Pixel-Level and Region-Level Cross-Correlation  42
Full Attention Tracker: A Good Combination of Pixel-Level an...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Wang, Yuxuan Yan, Liping Feng, Zihang Xia, Yuanqing Xiao, Bo School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100081 China
The tracker based on Siamese neural network is currently a technical method with high accuracy in the tracking field. With the introduction of transformer in the visual tracking field, the attention mechanism has grad... 详细信息
来源: 评论
Anti-sway control of Crane Based on Equivalent-Input-Disturbance Method and Feedback Linearization
Anti-sway Control of Crane Based on Equivalent-Input-Disturb...
收藏 引用
第42届中国控制会议
作者: Shuhan He Gang Yu Yongbo Li Fengyu Zhang Wangyong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation Complex Systems Huaxin Cement Technology Management (Wuhan) Co. Ltd
The anti-sway issue with crane systems is discussed in this essay. Because cranes are undriveable and nonlinear,implementing anti-sway controllers becomes much more challenging. This work suggests a crane anti-sway co...
来源: 评论
Adaptive fixed-time anti-synchronization of neural networks: Potential application in active noise control
收藏 引用
IFAC-PapersOnLine 2023年 第2期56卷 6400-6405页
作者: Haoyu Li Leimin Wang School of Automation China University of Geosciences Wuhan 430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan 430074 China
This paper discusses active noise control (ANC) through the dynamics analysis of neural networks. By designing an adaptive controller on the controlled neural network to generate a signal opposite to the noise source,... 详细信息
来源: 评论