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检索条件"机构=State Key Lab. of Intelligent Control and Management of Complex Systems"
1124 条 记 录,以下是211-220 订阅
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Explanation guided cross-modal social image clustering
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INFORMATION SCIENCES 2022年 593卷 1-16页
作者: Yan, Xiaoqiang Mao, Yiqiao Ye, Yangdong Yu, Hui Wang, Fei-Yue Zhengzhou Univ Sch Informat Engn Zhengzhou 450052 Peoples R China Univ Portsmouth Sch Creat Technol Portsmouth PO1 2DJ Hants England Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Macau Univ Sci & Technol Inst Syst Engn Taipa 999078 Macao Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Peoples R China
The integration of visual and semantic information has been found to play a role in increasing the accuracy of social image clustering methods. However, existing approaches are limited by the heterogeneity gap between... 详细信息
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Pedestrian Trajectory Prediction by Modeling the Interactions using Social LSTM Extensions
Pedestrian Trajectory Prediction by Modeling the Interaction...
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Chinese Automation Congress (CAC)
作者: Zeze Si Hongxia Zhao Haina Tang Fenghua Zhu Yisheng Lv Hao Lu State Key Laboratory for Management and Control of Complex Systems Institute of Autamation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academic of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China
In many driving situations, human mobility is an important topic in trajectory prediction. Considering the pedestrian trajectory as a sequence generative task, a prediction algorithm based on Social Long Short-Term Me... 详细信息
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ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation
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IEEE TRANSACTIONS ON intelligent TRANSPORTATION systems 2022年 第11期23卷 20217-20229页
作者: Zhang, Wenwen Wang, Jiangong Wang, Yutong Wang, Fei-Yue Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Macau Univ Sci & Technol Inst Syst Engn Macau 999078 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266000 Peoples R China
Recognizing and locating objects by algorithms are essential and challenging issues for intelligent Transportation systems. However, the increasing demand for much lab.led data hinders the further application of deep ... 详细信息
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Parallel control for Continuous-Time Linear systems:A Case Study
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IEEE/CAA Journal of Automatica Sinica 2020年 第4期7卷 919-928页
作者: Qinglai Wei Hongyang Li Fei-Yue Wang the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the University of Chinese Academy of Sciences Beijing 100049 Qingdao Academy of Intelligent Industries Qingdao 266109China the Institute of Systems Engineering Macao University of Science and Technology
In this paper,a new parallel controller is developed for continuous-time linear *** main contribution of the method is to establish a new parallel control law,where both state and control are considered as the *** str... 详细信息
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Design of Simultaneous state and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic systems with Multiple Sensors  8
Design of Simultaneous State and Unknown Input Filtering Alg...
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8th IEEE International Conference on Cloud Computing and Intelligence systems, CCIS 2022
作者: Hu, Zhibin Hu, Jun Chen, Cai Du, Junhua Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology School of Automation Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China Qiqihar University College of Science Qiqihar161006 China
In this paper, we investigate the simultaneous state and unknown input (SUI) filtering issue for a class of multi-sensor networked systems (MSNSs). The unknown input with no prior knowledge is introduced in the system... 详细信息
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Multimodal Perception and Decision-Making systems for complex Roads Based on Foundation Models
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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2024年 第11期54卷 6561-6569页
作者: Fan, Lili Wang, Yutong Zhang, Hui Zeng, Changxian Li, Yunjie Gou, Chao Yu, Hui Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Shenzhen 518107 Peoples R China Univ Portsmouth Sch Creat Technol Portsmouth PO1 2DJ Hants England
Since the inception of Industry 5.0 in 2021, a growing number of researchers have begun to pay their attention to the revolutionary shift it brings. The principles of Industry 5.0, including human-centric, sustainabil... 详细信息
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Supervised assisted deep reinforcement learning for emergency voltage control of power systems
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NEUROCOMPUTING 2022年 第0期475卷 69-79页
作者: Li, Xiaoshuang Wang, Xiao Zheng, Xinhu Dai, Yuxin Yu, Zhihong Zhang, Jun Jason Bu, Guangquan Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Qingdao Acad Intelligent Ind Parallel Intelligence Res Ctr Qingdao 266109 Peoples R China Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA Wuhan Univ Sch Elect Engn & Automat Wuhan 430072 Peoples R China China Elect Power Res Inst State Key Lab Power Grid Safety & Energy Conserva Beijing 100192 Peoples R China
The increasing complexity of power systems makes existing deep reinforcement learning-based emergency voltage control methods face challenges in learning speed and data utilization efficiency. Meanwhile, the accumulat... 详细信息
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PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion
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IEEE SENSORS JOURNAL 2022年 第15期22卷 15098-15110页
作者: Zhao, Meihua Xiong, Gang Zhou, Mengchu Shen, Zhen Liu, Sheng Han, Yunjun Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing 100190 Peoples R China Chinese Acad Sci Cloud Comp Ctr Guangdong Engn Res Ctr 3D Printing & Intelligent Dongguan 523808 Peoples R China New Jersey Inst Technol Helen & John C Hartmann Dept Elect & Comp Engn Newark NJ 07102 USA Qingdao Acad Intelligent Ind Intelligent Mfg Ctr Qingdao 266109 Peoples R China
Point cloud completion aims at predicting a complete 3D shape from an incomplete input. It has important applications in the fields of intelligent manufacturing, augmented reality, virtual reality, self-driving cars, ... 详细信息
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Gait Planning and Motion control Based on Vrep Simulation for Quadruped Robot
Gait Planning and Motion Control Based on Vrep Simulation fo...
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WRC Symposium on Advanced Robotics and Automation (WRC SARA)
作者: Linqi Zhou Zhihua Chen Jun Liu Zhi Liu Yumeng Chen Liting Zhang key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China
Gait planning of quadruped robots plays an important role in achieving less walking, including dynamic and static gait. In this article, a static and dynamic gait control method based on center of gravity stability ma...
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Research on Attention-Based Predictive Model in Multi-Agent Reinforcement Learning
Research on Attention-Based Predictive Model in Multi-Agent ...
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2022 Chinese Automation Congress, CAC 2022
作者: Hong, Weixin Wu, Huaiyu Shen, Zhen Xiong, Gang Hu, Bin Dong, Xisong Wang, Fei-Yue The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China The Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China
Agent actions planning is a challenging problem in multi-agent reinforcement learning. Recent methods typically build their predictive models by full connection layers, but the shortage of utilizing action and observa... 详细信息
来源: 评论