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检索条件"任意字段=IEEE Data Driven Control and Learning Systems Conference"
28911 条 记 录,以下是1431-1440 订阅
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control of Flexible Launch Vehicle Based on Singular Perturbation and Reinforcement learning  36
Control of Flexible Launch Vehicle Based on Singular Perturb...
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36th Chinese control and Decision conference (CCDC)
作者: Qin, Tong Du, Lifu Ruan, Yihui Li, Jingqi Liu, Lei Fan, Huijin Huazhong Univ Sci & Technol Natl Key Lab Multispectral Informat Intelligent P Sch Artificial Intelligence & Automat Wuhan Peoples R China Beijing Aerosp Automat Control Inst Beijing Peoples R China
In this paper, a data-driven algorithm based on singular perturbation (SP) and reinforcement learning (Rh) for the elastic launch vehicle attitude control and elastic suppression has been proposed. Considering that th... 详细信息
来源: 评论
Sequential Hypothesis Testing Based on Machine learning  27
Sequential Hypothesis Testing Based on Machine Learning
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27th International conference on Information Fusion (FUSION)
作者: Harvey, Ryan Braca, Paolo Millefiori, Leonardo M. Willett, Peter Univ Connecticut Dept Elect & Comp Engn Storrs CT 06029 USA Ctr Maritime Res & Experimentat Res Dept I-19126 La Spezia SP Italy
With the rapid proliferation of Machine-learning (ML) and Deep learning (DL) based decision systems, properly characterizing their often unpredictable performance is a key challenge. In this work we introduce the noti... 详细信息
来源: 评论
Non-Parametric Self-Identification and Model Predictive control of Dexterous In-Hand Manipulation
Non-Parametric Self-Identification and Model Predictive Cont...
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ieee/RSJ International conference on Intelligent Robots and systems (IROS)
作者: Chanrungmaneekul, Podshara Ren, Kejia Grace, Joshua T. Dollar, Aaron M. Hang, Kaiyu Rice Univ Dept Comp Sci Houston TX 77005 USA Yale Univ Dept Mech Engn & Mat Sci New Haven CT 06511 USA
Building hand-object models for dexterous inhand manipulation remains a crucial and open problem. Major challenges include the difficulty of obtaining the geometric and dynamical models of the hand, object, and time-v... 详细信息
来源: 评论
Addressing Reactive Power Sharing in Parallel Inverter Islanded Microgrid Through Deep Reinforcement learning  39
Addressing Reactive Power Sharing in Parallel Inverter Islan...
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Applied Power Electronics conference and Exposition (APEC)
作者: Oboreh-Snapps, Oroghene Strathman, Sophia A. Saelens, Jonathan Fernandes, Arnold Kimball, Jonathan W. Missouri Univ Sci & Technol Rolla MO 65409 USA
Parallel inverter microgrids (MGs) present a significant challenge in the form of inverter-based distributed generators (IBDGs) connected with varying line impedances, potentially leading to substantial reactive power... 详细信息
来源: 评论
Solving the Wire Loop Game with a reinforcement-learning controller based on haptic feedback  20
Solving the Wire Loop Game with a reinforcement-learning con...
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20th ieee/ASME International conference on Mechatronic and Embedded systems and Applications (MESA)
作者: Mazzotti, Lorenzo Angelini, Michele Carricato, Marco Univ Bologna Dept Ind Engn Bologna Italy
Nowadays, many control systems rely on model-based approaches, which require an effort increasing with the complexity of the tackled issue. An alternative to these approaches is offered by Deep learning algorithms, ca... 详细信息
来源: 评论
Dynamic Multi-Objective Home Appliance Scheduling Using Transfer learning Based Evolutionary Algorithm  6
Dynamic Multi-Objective Home Appliance Scheduling Using Tran...
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6th International conference on data-driven Optimization of Complex systems (DOCS)
作者: Zhang, Xi Jin, Yaochu Wu, Ping Liu, Qiqi Zhejiang Sci Tech Univ Sch Informat Sci & Engn Hangzhou Peoples R China Westlake Univ Sch Engn Hangzhou Peoples R China
Household Energy Management systems (HEMS) have garnered significant public attention for their ability to optimize the operation of home appliances. Despite extensive research on optimal home appliance scheduling, th... 详细信息
来源: 评论
Model-free data-driven Predictive control Using Reinforcement learning  62
Model-free Data-driven Predictive Control Using Reinforcemen...
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62nd ieee conference on Decision and control (CDC)
作者: Sawant, Shambhuraj Reinhardt, Dirk Kordabad, Arash Bahari Gros, Sebastien Norwegian Univ Sci & Technol NTNU Dept Engn Cybernet Trondheim Norway
This paper proposes a novel approach for Predictive control utilizing Reinforcement learning (RL) and datadriven techniques to derive optimal control policies for real systems. Using pure input-output multi-step predi...
来源: 评论
DynGraphSAGE: An Inductive Embedding Method for Dynamic Graphs  6
DynGraphSAGE: An Inductive Embedding Method for Dynamic Grap...
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6th International conference on data-driven Optimization of Complex systems (DOCS)
作者: Fei, Zhenwei Wang, Xiaofeng Donghua Univ Sch Informat Sci & Technol Shanghai Peoples R China Donghua Univ Sch Informat Sci & Technol Dept Automat Shanghai Peoples R China
learning low-dimensional representations of nodes on large graphs has recently become increasingly popular due to its wide applications ranging from biology and physics to social networks and recommendation systems. D... 详细信息
来源: 评论
Automated Design of Two-Stage Op Amp using Reinforcement learning  31
Automated Design of Two-Stage Op Amp using Reinforcement Lea...
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31st conference on Electronics Circuits and systems
作者: Papageorgiou, E. Noulis, T. Buzo, A. Pelz, G. Aristotle Univ Thessaloniki Elect Lab Dept Phys Thessaloniki 54124 Greece Infineon Technol AG Munich Munich Germany
In this work, a Reinforcement learning-based method is proposed for automated parameter selection and optimization in the design of a two-stage operational amplifier. Our approach involves training an agent to interac... 详细信息
来源: 评论
Semantic-driven Performance Optimization for UAV Based Object Detection  16
Semantic-driven Performance Optimization for UAV Based Objec...
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International conferences on Internet of Things (iThings) / Green Computing and Communications (GreenCom) / Cyber, Physical and Social Computing (CPSCom) / Smart data, Smartdata and Congress on Cybermatics (Cybermatics)
作者: Guo, Jiaxin Zhu, Kun Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Peoples R China
Unmanned aerial vehicles (UAVs) often need to capture and transmit videos to accomplish intelligent tasks. Minimizing the channel pressure from video transmission while ensuring task quality is a crucial challenge. Se... 详细信息
来源: 评论