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检索条件"任意字段=IEEE Data Driven Control and Learning Systems Conference"
29323 条 记 录,以下是621-630 订阅
data-driven Satellite Communication and control for Future IoT: Principles and Opportunities
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ieee TRANSACTIONS ON AEROSPACE AND ELECTRONIC systems 2024年 第3期60卷 3307-3318页
作者: Pokhrel, Shiva Raj Choi, Jinho Deakin Univ IoT Res Lab Sch Informat Technol Geelong Vic 3125 Australia
New satellite-based 6G for the Internet of Things (IoT) is expected to provide complete global coverage and support fully transparent services. In addition, a large number of low Earth orbit (LEO) satellites are to be... 详细信息
来源: 评论
learning Long-Horizon Predictions for Quadrotor Dynamics
Learning Long-Horizon Predictions for Quadrotor Dynamics
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2024 International conference on Intelligent Robots and systems
作者: Rao, Pratyaksh Prabhav Saviolo, Alessandro Ferrari, Tommaso Castiglione Loianno, Giuseppe NYU Tandon Sch Engn Brooklyn NY 11201 USA Technol Innovat Inst Autonomous Robot Res Ctr Abu Dhabi U Arab Emirates
Accurate modeling of system dynamics is crucial for achieving high-performance planning and control of robotic systems. Although existing data-driven approaches represent a promising approach for modeling dynamics, th... 详细信息
来源: 评论
Time-frequency Hypergraph Neural Network for Rotating Machinery Fault Diagnosis with Limited data  12
Time-frequency Hypergraph Neural Network for Rotating Machin...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Ke, Haobin Chen, Zhiwen Xu, Jiamin Fan, Xinyu Yang, Chao Peng, Tao Cent South Univ Sch Automat Changsha 410083 Peoples R China
Due to the scarcity of fault samples and the weakness of processing higher-order interactive information, the most existing intelligence methods fail to achieve the optimal effect in fault diagnosis. To address these ... 详细信息
来源: 评论
data-driven Tracking control for Nonaffine Yaw Channel of Helicopter via Off-Policy Reinforcement learning
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ieee Transactions on Aerospace and Electronic systems 2025年 第3期61卷 7725-7737页
作者: Zhang, Kun Luo, Shijie Wu, Huai-Ning Su, Rong Beihang University School of Astronautics Beijing100191 China Beihang University Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beijing100191 China Beihang University Hangzhou International Innovation Institute Hangzhou311115 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore
This article presents an off-policy tracking control scheme for the continuous-time nonaffine yaw channel of uncrewed aerial vehicle helicopter. First, the article constructs an affine augmented system (AAS) within a ... 详细信息
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A fast calibration method of the tool frame for industrial robots  12
A fast calibration method of the tool frame for industrial r...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Jiang, Lichen Gao, Guanbin Na, Jing Xing, Yashan Kunming Univ Sci & Technol Fac Mech & Elect Engn Kunming 650500 Peoples R China Yunnan Int Joint Lab Intelligent Control & Applic Kunming 650000 Yunnan Peoples R China
Industrial robots perform tasks through tools installed on the end flange. The position and orientation of the tools are essential factors that affect the motion accuracy of industrial robots. However, existing calibr... 详细信息
来源: 评论
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
Inferring Ingrained Remote Information in AC Power Flows Usi...
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2024 International conference on Communications control and Computing Technologies for Smart Grids
作者: Diao, Xiaoguang Song, Yubo Sahoo, Subham Aalborg Univ Dept Energy Aalborg Denmark
In this paper, we infer remote measurements such as remote voltages and currents online with change in AC power flows using spiking neural network (SNN) as grid-edge technology for efficient coordination of power elec... 详细信息
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A Physics-Guided data-driven Feedforward Tracking controller for systems With Unmodeled Dynamics-Applied to 3D Printing
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ieee ACCESS 2023年 11卷 14563-14574页
作者: Chou, Cheng-Hao Duan, Molong Okwudire, Chinedum E. Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA Hong Kong Univ Sci & Technol Dept Mech & Aerosp Engn Hong Kong Peoples R China HKUST Shenzhen Hong Kong Collaborat Innovat Res In Shenzhen Peoples R China
A hybrid (i.e., physics-guided data-driven) feedforward tracking controller is proposed for systems with unmodeled linear or nonlinear dynamics. The proposed controller is based on the filtered basis functions (FBF) a... 详细信息
来源: 评论
Small Leak Detection in Pipelines Using Deep learning and Statistical control Chart  13
Small Leak Detection in Pipelines Using Deep Learning and St...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Liang, Yu-Chen Cheng, Yi-Hsiang Hung, Zhen-Yu Yao, Yuan National Tsing Hua University Department of Chemical Engineering Hsinchu300044 Taiwan Material and Chemical Research Laboratories Industrial Technology Research Institute Hsinchu310401 Taiwan
Since the late 20th century, the demand for petrochemical materials and products in industry and daily life has increased, leading to the widespread use of pipelines for transporting these products. Recognizing the im... 详细信息
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Remaining Useful Life Prediction Method for Rolling Bearings Based on CBAM-CNN-BiLSTM  12
Remaining Useful Life Prediction Method for Rolling Bearings...
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ieee 12th data driven control and learning systems conference (DDCLS)
作者: Zhou, Honggen Ren, Xiaodie Sun, Li Li, Guochao Liu, Yinfei Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212000 Jiangsu Peoples R China Rocket Engn Univ Dept Control Engn Xian 710025 Peoples R China
Rolling bearings, as a rotating component, are of great importance to ensure the normal operation and smooth running of important equipment. Remaining useful life (RUL) prediction is a hot research topic in the engine... 详细信息
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RL-driven MPPI: Accelerating Online control Laws Calculation With Offline Policy
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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ieee TRANSACTIONS ON INTELLIGENT VEHICLES 2024年 第2期9卷 3605-3616页
作者: Qu, Yue Chu, Hongqing Gao, Shuhua Guan, Jun Yan, Haoqi Xiao, Liming Li, Shengbo Eben Duan, Jingliang Nanjing Vocat Univ Ind Technol Sch Mech Engn Nanjing 210023 Peoples R China Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China Tongji Univ Coll Automot Studies Shanghai 201804 Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250100 Peoples R China Jiangsu Univ Sci & Technol Sch Automat Zhenjiang 212100 Peoples R China Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China Tsinghua Univ Sch Vehicle & Mobil State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China Tsinghua Univ Ctr Intelligent Connected Vehicles & Transportat Beijing 100084 Peoples R China
Model Predictive Path Integral (MPPI) is a recognized sampling-based approach for finite horizon optimal control problems. However, the efficacy and computational efficiency of prevailing MPPI methods are heavily reli... 详细信息
来源: 评论