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检索条件"任意字段=IEEE Data Driven Control and Learning Systems Conference"
28909 条 记 录,以下是1361-1370 订阅
排序:
From Noisy data to Consensus control: A Localized Design Approach  63
From Noisy Data to Consensus Control: A Localized Design App...
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63rd ieee conference on Decision and control, CDC 2024
作者: Chang, Zeze Li, Zhongkui Peking University Department of Mechanics and Engineering Science College of Engineering Beijing100871 China
This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems characterized by unknown linear agent dynamics, where each agent computes its local control gain using only its lo... 详细信息
来源: 评论
Rebalancing Autonomous Electric Vehicles for Mobility-on-Demand by data-driven Model Predictive control  26
Rebalancing Autonomous Electric Vehicles for Mobility-on-Dem...
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ieee 26th International conference on Intelligent Transportation systems (ITSC)
作者: Ali, Muhammad Sajid Tangirala, Nagacharan Teja Knoll, Alois Eckhoff, David Bitwatt Syst GmbH Dusseldorf Germany Tech Univ Munich Chair Robot Artificial Intelligence & Realtime Sy D-85748 Garching Germany TUMCREATE Singapore 138602 Singapore
The main goal of this paper is to present an end-to-end, data-driven framework for the control of Autonomous Electric Vehicles (AEV) for Mobility-on-Demand (MoD). We present a data-driven Model Predictive control (MPC... 详细信息
来源: 评论
Robot Manipulation Skill learning Based on Stable Sparse Gaussian Process  25
Robot Manipulation Skill Learning Based on Stable Sparse Gau...
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25th ieee International conference on Industrial Technology, ICIT 2024
作者: Xiao, Huachi Huang, Haotian Jin, Zhehao Liu, Andong Qiu, Xiang Zhang, Wen-An Zhejiang University Of Technology Department Of Information Engineering Hangzhou China
In robot manipulation skill learning, due to the complexity of the system, encoding the human demonstrations with a non-parametric learning method is always more effective. Gaussian Process is a data-driven approach t... 详细信息
来源: 评论
Transferring Knowledge from Observed to Unknown: A data-driven Lane Change Trajectory Prediction Strategy Based on the Concept of Few-Shot learning  27
Transferring Knowledge from Observed to Unknown: A Data-Driv...
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27th ieee International conference on Intelligent Transportation systems, ITSC 2024
作者: Zhao, Nanbin Lu, Yun Wang, Bohui Cheng, Xinyi Luo, Ruikang Song, Yaofeng Zhou, Yao Su, Rong
Existing data-driven lane change trajectory prediction methods lack the capability to achieve broad consistency in the complex and variable real-world traffic scenarios due to their reliance on training with pre-colle... 详细信息
来源: 评论
Continuum Robotic Catheter systems for Transcatheter Mitral Valve Procedures: A Technical Review
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ieee ACCESS 2025年 13卷 43275-43288页
作者: Ding, Di Yao, Tianliang Wang, Haoyu Sun, Xusen Luo, Rong Fudan Univ Qingpu Branch Dept Cardiol Zhongshan Hosp Shanghai 200433 Peoples R China Tongji Univ Coll Elect & Informat Engn Dept Control Sci & Engn Shanghai 200092 Peoples R China Chinese Univ Hong Kong Fac Engn Dept Elect Engn Hong Kong Peoples R China Shanghai Univ Engn Sci Sch Elect & Elect Engn Shanghai 201620 Peoples R China
Transcatheter mitral valve procedures have transformed the treatment of mitral regurgitation and stenosis by providing less invasive alternatives to conventional open-heart surgery. However, they introduce stringent r... 详细信息
来源: 评论
IAQ Monitoring System Optimizing data-driven Sensor Placement  20
IAQ Monitoring System Optimizing Data-Driven Sensor Placemen...
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20th Annual International conference on Distributed Computing in Smart Sensor systems and the Internet of Things (DCOSS-IoT)
作者: Filios, Gabriel Nikoletseas, Sotiris Stivaros, Ioannis Univ Patras Dept Comp Engn & Informat Patras Greece Comp Technol Inst & Press Diophantus Patras Greece Univ Patras Dept Elect & Comp Engn Patras Greece
Indoor Air Quality (IAQ) significantly impacts people's health and comfort in buildings. Although IAQ research spans two decades, a comprehensive assessment of factors affecting indoor air pollution remains elusiv... 详细信息
来源: 评论
data-driven Modeling of Ground Effect For UAV Landing on a Vertical Oscillating Platform
Data-Driven Modeling of Ground Effect For UAV Landing on a V...
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2024 International conference on Intelligent Robots and systems
作者: He, Binglin Zhang, Heng Lai, Baisheng Liu, Song Wang, Yang ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Alibaba Grp Shanghai 201210 Peoples R China
Landing on a vertically oscillating platform poses a significant challenge for multi-rotor unmanned aerial vehicle (UAVs) due to the time-varying ground effect (GE). In this work, we formulated a data-driven GE dynami... 详细信息
来源: 评论
Identifying Maintenance Needs with Machine learning: a Case Study in Railways  32
Identifying Maintenance Needs with Machine Learning: a Case ...
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32nd ieee International Requirements Engineering conference (RE)
作者: Ferdous, Raihana Spagnolo, Giorgio Borselli, Alessandro Rota, Lucio Ferrari, Alessio Consiglio Nazl Ric CNR Pisa Italy Trenord Milan Italy
Cyber-physical systems, particularly those with extended service lives such as railways, often necessitate significant investment in maintenance activities encompassing repairs, upgrades, or inspections. These decisio... 详细信息
来源: 评论
Q-learning for Continuous-Time Linear systems: A data-driven Implementation of the Kleinman Algorithm
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ieee TRANSACTIONS ON systems MAN CYBERNETICS-systems 2022年 第10期52卷 6487-6497页
作者: Possieri, Corrado Sassano, Mario CNR Ist Anal Sistemi & Informat A Ruberti I-00185 Rome Italy Univ Roma Tor Vergata Dipartimento Ingn Civile & Ingn Informat I-00133 Rome Italy
A data-driven strategy to estimate the optimal feedback and the value function in an infinite-horizon, continuous-time, linear-quadratic optimal control problem for an unknown system is proposed. The method permits th... 详细信息
来源: 评论
Multi-agent reinforcement learning for shared resource scheduling conflict resolution
Multi-agent reinforcement learning for shared resource sched...
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2024 International conference on Artificial Intelligence, Computer, data Sciences, and Applications, ACDSA 2024
作者: Sankaranarayanasamy, Malarvizhi Vennelakanti, Ravigopal Hitachi America Ltd R&d Big Data Analytics Solution Lab Santa Clara United States
Transportation operations especially in railroad domain are time critical. Scheduling conflicts driven by disruptions and delays in any one zone significantly affect the overall network operations. In this work applic... 详细信息
来源: 评论