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检索条件"机构=Key Lab for Image Processing and Intelligent Control"
3832 条 记 录,以下是3701-3710 订阅
排序:
Predefined-time terminal sliding mode control of robot manipulators
arXiv
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arXiv 2020年
作者: Liang, Chang-Duo Ge, Ming-Feng Liu, Zhi-Wei Wang, Yan-Wu Karimi, Hamid Reza School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology Wuhan430074 China Department of Mechanical Engineering Politecnico di Milano Milan20156 Italy
In this paper, we present a new terminal sliding mode control to achieve predefined-time stability of robot manipulators. The proposed control is developed based on a novel predefined-time terminal sliding mode (PTSM)... 详细信息
来源: 评论
Stability of homogeneous positive systems with time-varying delays
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AUTOMATICA 2023年 第1期152卷
作者: Xiao, Qiang Huang, Zhenkun Zeng, Zhigang Huang, Tingwen Lewis, Frank L. Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan Peoples R China Jimei Univ Sch Sci Xiamen Peoples R China Texas A&M Univ Qatar Doha Qatar Univ Texas Arlington UTA Res Inst Ft Worth TX USA
Stability analysis of positive linear systems has been well-developed, while attention to positive homogeneous nonlinear systems is notably less paid. This note deepens and extends some previous results on stability o... 详细信息
来源: 评论
Finite-size scaling of geometric renormalization flows in complex networks
arXiv
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arXiv 2020年
作者: Chen, Dan Su, Housheng Wang, Xiaofan Pan, Gui-Jun Chen, Guanrong School of Artificial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China Department of Automation Shanghai University Shanghai200072 China Faculty of Physics and Electronic Science Hubei University Wuhan430062 China Department of Electrical Engineering City University of Hong Kong Hong Kong Hong Kong
Recently, the concept of geometric renormalization group provides a good approach for studying the structural symmetry and functional invariance of complex networks. Along this line, we systematically investigate the ... 详细信息
来源: 评论
A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023年 72卷 1页
作者: Chen, Xiaobo Wang, Kaiyuan Li, Zuoyong Zhang, Yu Ye, Qiaolin Shandong Technol & Business Univ Sch Comp Sci & Technol Yantai 264005 Shandong Peoples R China Jiangsu Key Lab Image & Video Understanding Social Nanjing 210094 Peoples R China Minjiang Univ Coll Comp & Control Engn Fujian Prov Key Lab Informat Proc & Intelligent Co Fuzhou 350121 Peoples R China Lehigh Univ Dept Bioengn Bethlehem PA 18015 USA Nanjing Forestry Univ Coll Informat Sci & Technol Nanjing 210037 Peoples R China
Complete traffic sensor data are considered to be one of the critical ingredients for intelligent transportation systems (ITSs). However, traffic measurements prevalently suffer from inevitable and ubiquitous missing ... 详细信息
来源: 评论
Reduced-order interval observer based consensus for MASs with time-varying interval uncertainties
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AUTOMATICA 2022年 135卷 109989-109989页
作者: Wang, Xiaoling Wang, Xiaofan Su, Housheng Lam, James Nanjing Univ Posts & Telecommun Coll Automat & AI Nanjing 210023 Peoples R China Jiangsu Engn Lab IOT Intelligent Robots IOTRobot Nanjing 210023 Peoples R China Shanghai Univ Dept Automat Shanghai 200072 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Image Proc & Intelligent Control Key Lab Educ Minist China Luoyu Rd 1037 Wuhan 430074 Peoples R China Univ Hong Kong Dept Mech Engn Pokfulam Rd Hong Kong Peoples R China
In this paper, the consensus problem of a continuous-time uncertain multi-agent system (MAS) with time-varying interval uncertainties in the system matrix and unknown initial states is investigated via output feedback... 详细信息
来源: 评论
Pattern phase transitions of self-propelled particles: gases, crystals, liquids, and mills
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NEW JOURNAL OF PHYSICS 2016年 第10期18卷 103005-103005页
作者: Cheng, Zhao Chen, Zhiyong Vicsek, Tamas Chen, Duxin Zhang, Hai-Tao Huazhong Univ Sci & Technol Sch Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW 2308 Australia Eotvos Lorand Univ Dept Biol Phys Pazmany Petersetany 1A H-1117 Budapest Hungary
To understand the collective behaviors of biological swarms, flocks, and colonies, we investigated the non-equilibrium dynamic patterns of self-propelled particle systems using statistical mechanics methods and H-stab... 详细信息
来源: 评论
image Fuzzy Edge Information Segmentation Based on Computer Vision and Machine Learning
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JOURNAL OF GRID COMPUTING 2023年 第4期21卷 56-56页
作者: Luo, Tianye Li, Shijun Li, Ji Guo, Jie Feng, Ruilong Mu, Ye Hu, Tianli Sun, Yu Guo, Ying Gong, He Jilin Agr Univ Coll Informat Technol Changchun 130118 Jilin Peoples R China Wuzhou Univ Guangxi Key Lab Machine Vis & Intelligent Control Wuzhou 543002 Guangxi Peoples R China Wuzhou Univ Guangxi Coll & Univ Key Lab Image Proc & Intellige Wuzhou 543002 Guangxi Peoples R China Jilin Agr Univ Jilin Prov Agr Internet Things Technol Collaborat Changchun 130118 Jilin Peoples R China Jilin Agr Univ Jilin Prov Intelligent Environm Engn Res Ctr Changchun 130118 Jilin Peoples R China Jilin Agr Univ Jilin Prov Informat Technol & Intelligent Agr Engn Changchun 130118 Jilin Peoples R China
image segmentation is a key problem in the field of machine vision. Its core goal is to separate the target and background in the region of interest from the image and directly affect the accuracy of subsequent operat... 详细信息
来源: 评论
Hierarchical Extreme Learning Machine for Unsupervised Representation Learning
Hierarchical Extreme Learning Machine for Unsupervised Repre...
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International Joint Conference on Neural Networks
作者: Wentao Zhu Jun Miao Laiyun Qing Guang-Bin Huang Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100049 China School of Electrical & Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798
Learning representations from massive unlabeled data is a hot topic for high-level tasks in many applications. The recent great improvements on benchmark data sets, which are achieved by increasingly complex unsupervi... 详细信息
来源: 评论
High Information Density and Low Coverage Data Storage in DNA with Efficient Channel Coding Schemes
arXiv
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arXiv 2024年
作者: Ding, Yi He, Xuan Nguyen, Tuan Thanh Song, Wentu Yakhini, Zohar Yaakobi, Eitan Pan, Linqiang Tang, Xiaohu Cai, Kui Information Coding and Transmission Key Lab of Sichuan Province Southwest Jiaotong University Sichuan Chengdu611756 China Cluster Singapore University of Technology and Design 487372 Singapore Faculty of Computer Science Technion - Israel Institute of Technology Haifa3200003 Israel School of Computer Science RUNI Herzliya4615200 Israel Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China
DNA-based data storage has been attracting significant attention due to its extremely high data storage density, low power consumption, and long duration compared to conventional data storage media. Despite the recent... 详细信息
来源: 评论
A Born-Again Takagi-Sugeno-Kang Fuzzy Classifier with Decoupled Fuzzy Dark Knowledge Distillation
SSRN
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SSRN 2024年
作者: Zhang, Xiongtao Yin, Zezong Jiang, Yunliang Jiang, Yizhang Sun, Danfeng Liu, Yong School of Information Engineering Huzhou University Huzhou31300 China Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal University Jinhua321004 China School of Computer Science and Technology Zhejiang Normal University Jinhua321004 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China School of Computer Science Hangzhou Dianzi University Hangzhou310018 China College of Control Science and Engineering Zhejiang University Hangzhou310027 China
In order to enpower the hight performance as well as interpretability of low-order TSK fuzzy classifier, a born-again TSK fuzzy classier embedded with decoupled fuzzy dark knowledge distillation called HTSK-LLM-DKD is... 详细信息
来源: 评论