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检索条件"机构=the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems"
2174 条 记 录,以下是241-250 订阅
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Dynamics Modeling Method of Offshore Drilling Experimental System Based on Double-Layer Stewart Parallel Mechanism  42
Dynamics Modeling Method of Offshore Drilling Experimental S...
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42nd Chinese control Conference, CCC 2023
作者: Wang, Chenxuan Ma, Zhejiaqi Lu, Chengda Du, Sheng Wu, Min School of Future Technology China University of Geosciences Wuhan430074 China 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
Establishing the dynamics model of the offshore drilling experimental system can better complete the offshore drilling test in the laboratory environment and reduce the cost of testing. A dynamical modeling method for... 详细信息
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Evaluation of Landslide Susceptibility Using Machine Learning Based on Information Value Sampling Method
Evaluation of Landslide Susceptibility Using Machine Learnin...
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2023 China automation Congress, CAC 2023
作者: Liu, Lang Chen, Xin Zhao, Lingran Cao, Weihua 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 Exploration Institute of Geological Engineering of Xiangyang Xiangyang441000 China
In landslide susceptibility prediction using machine learning (ML) models, the selection of appropriate negative samples significantly impacts the accuracy of the predictions. Many existing studies tend to randomly ch... 详细信息
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Preassigned-Time Synchronization of Memristive Chaotic Circuit via Intermittent control
Preassigned-Time Synchronization of Memristive Chaotic Circu...
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2023 International Conference on Neuromorphic Computing, ICNC 2023
作者: Wang, Qiming Wang, Leimin Wu, Genping China University of Geosciences School of Automation 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 Wuhan Second Ship Design and Research Institute Wuhan430064 China
In this paper, the preassigned-time synchronization (PTS) problem for a fifth-order memristive chaotic circuit (MCC) is investigated by designing a time-dependent intermittent controller. First, the dynamic characteri... 详细信息
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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for intelligent Maritime Surveillance
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IEEE Transactions on intelligent Transportation systems 2024年 第5期25卷 4552-4564页
作者: Qu, Jingxiang Liu, Ryan Wen Zhao, Chenjie Guo, Yu Xu, Sendren Sheng-Dong Zhu, Fenghua Lv, Yisheng Wuhan University of Technology Hubei Key Laboratory of Inland Shipping Technology School of Navigation Wuhan430063 China State Key Laboratory of Maritime Technology and Safety Wuhan430063 China National Taiwan University of Science and Technology Graduate Institute of Automation and Control and the Advanced Manufacturing Research Center Taipei10617 Taiwan Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China
The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vessel is normally loaded or overloaded. ... 详细信息
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Matrix-injection-based transformation method for discrete-time systems with time-varying delay
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Science China(Information Sciences) 2023年 第5期66卷 289-290页
作者: Chuan-Ke ZHANG Ke-You XIE Yong HE Jinhua SHE Min WU School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Engineering Tokyo University of Technology
Dear editor,In order to identify the influence of time-varying delays on the stability of control systems represented in a discretetime mode, developing stability criteria of discrete-time delayed systems has received... 详细信息
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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence
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IEEE/CAA Journal of Automatica Sinica 2024年 第6期11卷 1313-1316页
作者: Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE
THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to pos... 详细信息
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Design of An intelligent control System for Underground Directional Drilling Trajectory in Coal Mines  41
Design of An Intelligent Control System for Underground Dire...
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第41届中国控制会议
作者: Wangnian Li Min Wu Ke Yao Quanxin Li Chengda Lu Sheng Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group
Directional drilling trajectory control technology is one of the key technologies to realize automation and intelligence of underground tunnel drilling in coal *** construction of directional drilling in underground c... 详细信息
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Design of an intelligent Monitoring System for Operating States in a Coal Mine Drilling Process  41
Design of an Intelligent Monitoring System for Operating Sta...
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第41届中国控制会议
作者: Xiao Yang Luefeng Chen Sheng Du Chengda Lu Wangnian Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group
With the development trend of intelligent drilling in coal mines,an intelligent monitoring system for operating states in a drilling process is developed to solve the problems of incomplete display of drilling paramet... 详细信息
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Inverse Compensation Feedforward control Strategy for a Vertical Pneumatic Artificial Muscle System  8
Inverse Compensation Feedforward Control Strategy for a Vert...
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8th International Conference on control Science and systems Engineering, ICCSSE 2022
作者: Xiao, Huai Meng, Qingxin Lai, Xuzhi Yan, Ze Zhao, Shiying Wu, Min 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 Hubei Wuhan430074 China
This paper proposes an inverse compensation feed-forward control strategy for a vertical pneumatic artificial muscle (PAM) system. Firstly, we conduct a preliminary experiment on the vertical PAM system, and on this b... 详细信息
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Frequency Domain-Based Low-Rank Approximation for Magnetic Anomaly Detection
Frequency Domain-Based Low-Rank Approximation for Magnetic A...
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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on
作者: Yumeng Lv Congyu Liao Huan Liu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Wuhan China Department of Radiology Stanford University CA USA
Current magnetic anomaly detection (MAD) methods prioritize signal-to-noise ratio (SNR) over signal features and edge information, leading to signal distortion. To address this issue, a new MAD approach utilizes struc... 详细信息
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