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检索条件"机构=LARICS Laboratory for Robotics and Intelligent Control Systems"
518 条 记 录,以下是271-280 订阅
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Optimization method of Data interaction in power IoT based on particle swarm algorithm  2
Optimization method of Data interaction in power IoT based o...
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2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022
作者: Wang, Tianyu Miao, Weiwei Zeng, Zeng Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China State Grid Jiangsu Electric Power Co. Ltd. Information Telecommunication Branch Nanjing China
The ubiquitous power Internet of things (IoT) constructs an intelligent service system with comprehensive perception, efficient response and flexible processing around all departments of the power system and with the ... 详细信息
来源: 评论
Trajectory Tracking Error Optimization based on Iterative Learning  4
Trajectory Tracking Error Optimization based on Iterative Le...
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4th IEEE International Conference on Power, intelligent Computing and systems, ICPICS 2022
作者: Huang, Haoran Zhang, Tao Jia, Danping Zhang, Hualiang Yan, Hongyu Pei, Quanshen Ding, Fan Shenyang University of Technology School of Information Science and Engineering Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Artificial Intelligence Shenyang University of Technology Shenyang China
The X-Y precision plane motion platform is widely used in various precision motion control fields. In this paper, to improve the tracking accuracy of the X-Y precision plane motion table, a high-level iterative learni... 详细信息
来源: 评论
Service Encapsulation Method Based on Industrial Internet
Service Encapsulation Method Based on Industrial Internet
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作者: Li, Kai Pan, Hao Tong, Xing Li, Dong Wang, Ting Shenyang University of Chemical Technology Liaoning Shenyang110142 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Liaoning Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110016 China
Based on the analysis of software and hardware integration and highly heterogeneous infrastructure in the traditional industrial field, this paper puts forward the concept of service packaging engine, puts forward a u... 详细信息
来源: 评论
Effective Decoupled Planning for Continuous Multi-Agent Pickup and Delivery
Effective Decoupled Planning for Continuous Multi-Agent Pick...
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第32届中国控制与决策会议
作者: Zhenbang Nie Peng Zeng Haibin Yu State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Key Laboratory of Networked Control Systems Chinese Academy of Sciences University of Chinese Academy of Sciences
Continuous MAPD(Multi-Agent Pickup and Delivery) problem is widely encountered in material transportation ***(Token Passing) is a conflict-free,deadlock-free algorithm for continuous MAPD ***,when TP is used,the n... 详细信息
来源: 评论
Research and optimization of conflict search algorithm for multi-agent path planning based on incremental heuristic  2
Research and optimization of conflict search algorithm for m...
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2nd International Conference on Computer Vision and Data Mining, ICVDM 2021
作者: Li, Yang Wang, Jun Zhang, Hualiang School of Computer Science Shenyang University of Chemical Technology Shenyang110142 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China
Conflict Based Search(CBS) is used for multi-agent Pathfinding (MAPF) to enable each Agent to reach the target node. The CBS algorithm uses the heuristic algorithm A* search to calculate the MAPF solution, and the pat... 详细信息
来源: 评论
Fault Diagnosis Based on RseNet-LSTM for Industrial Process  5
Fault Diagnosis Based on RseNet-LSTM for Industrial Process
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5th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2021
作者: Yao, Peifu Yang, Shaojie Li, Peng China Copper Co.LTD Kunming China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China
Aiming at the problems that conventional data-driven diagnosis methods are difficult to adaptively extract effective features from industrial process data, and do not make full use of the time series characteristics o... 详细信息
来源: 评论
Research on cloud-side collaborative task migration strategy based on simulated annealing-Bee Colony Algorithm in Power IoT  2
Research on cloud-side collaborative task migration strategy...
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2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022
作者: Zhang, Bowen Zeng, Zeng Miao, Weiwei Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China State Grid Jiangsu Electric Power Co. Ltd. Information Telecommunication Branch Nanjing China
In the power IoT, in order to make up for the shortcomings of insufficient computing capabilities of edge-side devices, cloud-side collaboration technology has attracted more and more attention. The cloud-side collabo... 详细信息
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Multivariate time series forecast in industrial process based on XGBoost and GRU  9
Multivariate time series forecast in industrial process base...
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9th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2020
作者: Zhai, Naiju Yao, Peifu Zhou, Xiaofeng Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China China Copper Co.LTD Kunming China
In this paper, a time series prediction model that merges eXtreme Gradient Boosting (XGBoost) and Gate Recurrent Unit (GRU), XGB-GRU model, is proposed for multivariate time series prediction in industry. The XGB-GRU ... 详细信息
来源: 评论
Trajectory Planning for Formation Variation of UGVs in Cluttered Environment
Trajectory Planning for Formation Variation of UGVs in Clutt...
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International Conference on intelligent Transportation
作者: Jie Cheng Ruishuang Chen Zhihui Liang Shuan Ding Zaiyue Yang Shenzhen Key Laboratory of Control The-ory and Intelligent Systems School of System Design and Intelligent Manufacturing Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology (SUSTech) Shenzhen China
The problem of trajectory planning for formation variation of unmanned ground vehicles (UGVs) is challenging due to the coupled non-collision constraints that apply to multiple vehicles. To address this issue, an inno...
来源: 评论
An extension of weighted strategy sharing in cooperative Q-learning for specialized agents
An extension of weighted strategy sharing in cooperative Q-l...
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International Conference on Neural Information Processing
作者: S.M. Eshgh M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran
Using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rides for unseen situations. These benefits will be gained if the learning agents know the are... 详细信息
来源: 评论