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检索条件"机构=Key Laboratory of Intelligent Control of Complex System"
6233 条 记 录,以下是511-520 订阅
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Enhanced Robust Scheduling Approach Considering Dynamic Flexibility Support from District Heating systems
Enhanced Robust Scheduling Approach Considering Dynamic Flex...
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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)
作者: Wenzhang Zheng Peng Li Ming Yang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China
Apart from flexibility resources, e.g., thermal generators and battery energy storage system in electrical power system, dynamic heating networks and flexible heat loads in district heating systems could also provide ... 详细信息
来源: 评论
Power Ramp Extremes Two Stage Forecast based on Auto Encoder and Bi-LSTM
Power Ramp Extremes Two Stage Forecast based on Auto Encoder...
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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)
作者: Chuanqi Wang Ming Yang Yixiao Yu Menglin Li Shuaijie Shan Yuanhe Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China
Power ramp is one of the stages with the largest error of renewable energy power forecast. The deviation in the forecast of the time and values of the start-end points will lead to a significant forecast error to the ... 详细信息
来源: 评论
Energy-Efficient Safety-Aware Scheduling of Real-Time control systems with Burst Tasks  22
Energy-Efficient Safety-Aware Scheduling of Real-Time Contro...
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22nd IEEE International Conference on Industrial Informatics, INDIN 2024
作者: Cheng, Ting Liang, Yonghui Xu, Qimin Zhu, Shanying Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China
In industrial sites, multiple real-time control systems often share computing resources. However, burst computing tasks may lead to the random dropping of control computing subtasks, resulting in control failures and ... 详细信息
来源: 评论
Research on Location Algorithm Based on SAR and Infrared Fusion  1
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International Conference on Autonomous Unmanned systems, ICAUS 2021
作者: Yang, Yanjiao Qu, Guangzhou Li, Bo Ma, Meng Liu, ShuaiShuai Chi, QingXi Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Coopration Laboratory Beijing China
Aiming at the problem of sins cumulative error correction, a dual-mode navigation algorithm based on infrared and SAR information fusion is studied. Radar system can provide SAR image and range information, and can me... 详细信息
来源: 评论
Research on key Technologies of Cross-domain Guidance  8
Research on Key Technologies of Cross-domain Guidance
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8th Symposium on Novel Photoelectronic Detection Technology and Applications
作者: Guo, Xiaoyun Wu, Chengfeng Fang, Xueli Xu, Cheng Li, Hui Beijing Institute of Mechanical and Electrical Engineering Beijing China Beijing Institute of Mechanical and Electrical Engineering Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China Beijing Institute of Mechanical and Electrical Engineering Key Laboratory of Complex Aviation Simulation System Beijing China
Cross-domain synergy and intelligence will become important features of future warfare. Cross-domain guidance is one of the typical forms of cross-domain synergy. It can significantly improve the ability to respond qu... 详细信息
来源: 评论
Equilibrium analysis of networked game under best-response dynamics  43
Equilibrium analysis of networked game under best-response d...
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43rd Chinese control Conference, CCC 2024
作者: Xia, Yu Su, Qi Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China
Both coordination, a behavioral pattern where individuals adopt the same behavior as the majority, and anticoordination, a behavioral pattern where individuals choose a behavior different from the majority, are preval... 详细信息
来源: 评论
Design of Reinforcement Learning Environment for Multiple UAV Area Coverage Search
Design of Reinforcement Learning Environment for Multiple UA...
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International Conference on Autonomous Unmanned systems, ICAUS 2021
作者: Sun, Yinjiang Zhang, Rui Liu, Xiaoheng Liang, Wenbao Xu, Cheng Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
Unmanned aerial vehicle (UAV) plays an increasingly important role both in civil and military fields. As a typical mission, area coverage search is a primary measure for reconnaissance and surveillance of unknown area... 详细信息
来源: 评论
Tightly-coupled Lidar-GNSS-Inertial Fusion Odometry and Mapping
Tightly-coupled Lidar-GNSS-Inertial Fusion Odometry and Mapp...
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第43届中国控制会议
作者: Shuwei Yu Jing Li Tianwei Niu Junzheng Wang Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology
This paper proposes a tightly-coupled lidar-GNSS-inertial fusion system that achieves accurate state estimation and mapping for robot *** system effectively fuses lidar points,GNSS measurements,and IMU data using the ... 详细信息
来源: 评论
Graph-based Selection-Activation Reinforcement Learning for Heterogenous Multi-agent Collaboration
Graph-based Selection-Activation Reinforcement Learning for ...
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第43届中国控制会议
作者: Hao-Xiang Chen Xi-Wen Zhang Jun-Nan Shen State Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology Chongqing Innovation Center Beijing Institute of Technology
In practical applications of multi-agent systems, agents are often heterogeneous, and each type of them typically has different task objectives. For heterogeneous multi-agent reinforcement learning(HMARL), the diversi... 详细信息
来源: 评论
Adversarial Example Attack and Defence of Object Recognition: A Survey
Adversarial Example Attack and Defence of Object Recognition...
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2022 IEEE International Conference on Unmanned systems, ICUS 2022
作者: Tan, Wei Zhao, Jiajia Liang, Xinkai Lu, Hanchen Song, Baogang Guan, Hao Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Mechano-Electronic Engineering Institute Beijing China
Deep learning-based intelligent object recognition algorithm has been widely applied in object detection, auto driving, ect. However, deep neural network is very vulnerable because of its high-dimensional linearizatio... 详细信息
来源: 评论