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检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan"
1249 条 记 录,以下是541-550 订阅
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Finite-Time Robust Synchronization of Delayed Competitive Neural Networks via Sliding-Mode control
Finite-Time Robust Synchronization of Delayed Competitive Ne...
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第40届中国控制会议
作者: Xingxing Tan Leimin Wang Xili Chen Jiajun Cheng Shan Jiang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
In this paper, based on the sliding-mode control, the finite-time synchronization of delayed competitive neural networks with external disturbances is investigated. Firstly, a controller and two sliding-mode surfaces ... 详细信息
来源: 评论
Geological Reservoir Modeling Method Based on Conditional Progressive Growing of GANs
Geological Reservoir Modeling Method Based on Conditional Pr...
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IEEE International Conference on Industrial Technology (ICIT)
作者: Huaijin Huang Xiaobo Liu Yiting Zheng Dongsen Zhang Hongbo Xiang School of Automation China University of Geosciences Wuhan China Hubei Key Lab of Advanced Control and Intelligent Automation China University of Geosciences Wuhan China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of Geosciences Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China
Accurately characterizing geological patterns in reservoir modeling remains a significant challenge due to their inherent spatial heterogeneity and complexity. This paper proposes a Conditional Progressive Growing of ... 详细信息
来源: 评论
Multimodal Image Matching based on Frequency-domain Information of Local Energy Response
arXiv
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arXiv 2025年
作者: Yang, Meng Chen, Jun Gong, Wenping Wei, Longsheng Tian, Xin 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 Faculty of Engineering China University of Geosciences Wuhan430074 China Electronic Information School Wuhan University Wuhan430072 China
Complicated nonlinear intensity differences, nonlinear local geometric distortions, noises and rotation transformation are main challenges in multimodal image matching. In order to solve these problems, we propose a m... 详细信息
来源: 评论
Delay-Dependent Stability Analysis of Multi-Area Load Frequency control Systems with Multiple Renewable Energy Structures
Delay-Dependent Stability Analysis of Multi-Area Load Freque...
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Chinese control Conference (CCC)
作者: Qian-Long Pan Li Jin Yong He Zhou-Zhou Liu School of Automation China University of Geosciences Wuhan P.R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P.R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P.R. China
This paper investigates the delay-dependent stability of time-delayed load frequency control (LFC) systems with multiple energy structures based on Lyapunov theory and linear matrix inequality (LMI) technology. Firstl...
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Stability Analysis of Delayed T-S Fuzzy Systems via the Fuzzy Line-Integral Method
Stability Analysis of Delayed T-S Fuzzy Systems via the Fuzz...
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Chinese control Conference (CCC)
作者: Zhou-Zhou Liu Li Jin Yong He School of Automation China University of Geosciences Wuhan P.R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P.R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P.R. China
This paper focuses on the problem of stability analysis for Takagi-Sugeno systems with time-varying delays. Firstly, a suitable Lyapunov-Krasovskii functional (LKF) containing fuzzy line-integral Lyapunov functional i...
来源: 评论
Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises
Design and Application of a One-Stop Mobile Application Shar...
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Chinese control Conference (CCC)
作者: Xinzhe Chen Luefeng Chen Jie Hu Qingfeng Yang Min Wu Witold Pedrycz School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton AB 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...
来源: 评论
An improved dissipativity criterion for singular systems with time-varying delays via a state decomposition method
An improved dissipativity criterion for singular systems wit...
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第40届中国控制会议
作者: Yang Li Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
This paper is concerned with the dissipativity analysis of singular systems with time-varying delays. Firstly, an improved augmented Lyapunov-Krasovsii functional(ALKF) is constructed based on the state decomposition ... 详细信息
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Safe Reinforcement Learning for Social Motor Coordination in Two Dimensional Space
Safe Reinforcement Learning for Social Motor Coordination in...
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IEEE International Conference on Industrial Technology (ICIT)
作者: Fan Yang Yuening Huang Chao Zhai Hehong Zhang China University of Geosciences Wuhan Campus School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Rice University George R. Brown School of Engineering and Computing Houston Texas United States Fuzhou University School of Computer and Data Science Fuzhou China
This paper presents an interactive motion control method based on reinforcement learning, designed to assist children with autism who have social motor impairments through a mirror game intervention. The virtual teach... 详细信息
来源: 评论
Partially Occluded Face Expression Recognition with CBAM-Based Residual Network for Teaching Scene
Partially Occluded Face Expression Recognition with CBAM-Bas...
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2023 China automation Congress, CAC 2023
作者: Bai, Yanxing Chen, Luefeng Li, Min Wu, Min Pedrycz, Witold Hirota, Kaoru School of Automation China University of Geosciences Wuhan430074 China School of Automation Ministry of Education 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 Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Department of Computer Engineering Sariyer Istanbul34396 Turkey Tokyo Institute of Technology Yokohama226-8502 Japan
In this paper, a deep residual network based on convolutional block attention module (CBAM) is proposed, which is utilized for feature extraction of partially occluded face expression data. The proposed method overcom... 详细信息
来源: 评论
Semantic Segmentation of Indoor Point Clouds with the Channel Attention Mechanism
Semantic Segmentation of Indoor Point Clouds with the Channe...
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Chinese automation Congress (CAC)
作者: Wei Liu Yisheng Lu Tao Zhang Jun Chen School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geoexploration Wuhan China
In recent years, the semantic segmentation of 3D point cloud has received increasing attention the field of computer vision, because 3D point cloud can better reflect our 3D space. Because of the unstructured and diso... 详细信息
来源: 评论