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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941-950 订阅
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Effective Analysis of Machine and Deep learning Methods for Diagnosing Mental Health Using Social Media Conversations
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ieee TRANSACTIONS ON COMPUTATIONAL SOCIAL systems 2025年 第1期12卷 274-294页
作者: Kasanneni, Yashwanth Duggal, Achyut Sathyaraj, R. Raja, S. P. Vellore Inst Technol Sch Comp Sci & Engn SCOPE Vellore 632014 India
The increasing incidence of mental health issues demands innovative diagnostic methods, especially within digital communication. Traditional assessments are challenged by the sheer volume of data and the nuanced langu... 详细信息
来源: 评论
data-driven Modeling and Experimental Validation of Autonomous Vehicles using Koopman Operator
Data-Driven Modeling and Experimental Validation of Autonomo...
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ieee/RSJ International conference on Intelligent Robots and systems (IROS)
作者: Joglekar, Ajinkya Sutavani, Sarang Samak, Chinmay Samak, Tanmay Kosaraju, Krishna Chaitanya Smereka, Jonathon Gorsich, David Vaidya, Umesh Krovi, Venkat Clemson Univ Dept Automot Engn Int Ctr Automot Res Greenville SC 29607 USA Clemson Univ Dept Mech Engn Clemson SC 29634 USA
This paper presents a data-driven framework to discover underlying dynamics on a scaled F1TENTH vehicle using the Koopman operator linear predictor. Traditionally, a range of white, gray, or black-box models are used ... 详细信息
来源: 评论
Application of CPU Parallel Computing in MATLAB Environment for Analysis of Anti-Saturation and Gain Effects in PID controller  13
Application of CPU Parallel Computing in MATLAB Environment ...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Huang, Ruirui Wu, Zhenhui Hou, Yandong Cheng, Qianshuai Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China Technology and Media University of Henan Kaifeng Kaifeng475004 China School of Artificial Intelligence Henan University Zhengzhou450000 China
With the continuous increase in data size and model complexity, the computational workload has grown rapidly, posing a significant challenge to the capabilities of computer data processing and simulation calculations.... 详细信息
来源: 评论
Adaptive Parameter Identification Based Sliding Mode control for Servo Mechanism Using Nonlinear Disturbance Observer  13
Adaptive Parameter Identification Based Sliding Mode Control...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Du, Hailan Tao, Liang Tao, Meiling Xu, Binzi Deng, Xiongfeng College of Electrical Engineering Anhui Polytechnic University Wuhu241000 China
In this paper, a friction compensation method is proposed based on adaptive parameter identification and nonlinear disturbance observer for servo mechanism system to achieve desired tracking performance. Firstly, the ... 详细信息
来源: 评论
On Feedback Error learning for Adaptive Soft Robot control  7
On Feedback Error Learning for Adaptive Soft Robot Control
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7th International conference on Soft Robotics (ROBOSOFT)
作者: Veronese, Niccolo Enrico Albini, Alessandro Yao, Yao Rocco, Paolo Maiolino, Perla Forni, Fulvio Polytech Univ Milan Milan Italy Univ Oxford Oxford Robot Inst Oxford England Univ Genoa Genoa Italy Univ Cambridge Dept Engn Cambridge England
Soft robots are appealing in a wide variety of tasks thanks to their inherent advantages in safety, compliance, and adaptability. However, accurate modelling and control of soft robots are still significantly challeng... 详细信息
来源: 评论
data-driven Decision-Making for SCUC: An Improved Deep learning Approach Based on Sample Coding and Seq2Seq Technique
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PROTECTION AND control OF MODERN POWER systems 2025年 第2期10卷 13-24页
作者: Yang, Nan Hao, Juncong Li, Zhengmao Ye, Di Xing, Chao Zhang, Zhi Wang, Can Huang, Yuehua Zhang, Lei China Three Gorges Univ Coll Elect Engn & New Energy Yichang 443002 Peoples R China Aalto Univ Sch Elect Engn Espoo 02150 Finland State Grid Fujian Elect Power Co Ltd Fuzhou Power Supply Co Fuzhou 350009 Peoples R China Yunnan Power Grid Co Ltd Elect Power Res Inst Kunming 650217 Yunnan Peoples R China State Grid Corp China Beijing 100031 Peoples R China
The electricity industry has witnessed increasing challenges in power system operation and rapid developments of artificial intelligence technologies in the last decades. In this context, studying the approach of secu... 详细信息
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Fixed- Time Adaptive Neural Pitch Angle control for Variable-Speed Wind Turbines  13
Fixed- Time Adaptive Neural Pitch Angle Control for Variable...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Xie, Shuzong Yang, Qinmin Li, Qingyi Wang, Shaodong Yang, Jun College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang Provincial Energy Group Company Ltd. Jiaxing314000 China
This paper mainly focuses on the challenging problem of fixed-time adaptive neural pitch angle control for variable-speed wind turbines. Firstly, a switching continuous fixed-time sliding mode variable is adopted to a... 详细信息
来源: 评论
A data-based adaptive consensus control algorithm of discrete-time multi-agent systems  14
A data-based adaptive consensus control algorithm of discret...
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14th Asian control conference (ASCC)
作者: Xiang, Aoxue Zhao, Xinyuan Beijing Univ Technol Sch Math Stat & Mech Beijing 100124 Peoples R China
This paper addresses the consensus tracking problem of leader-follower discrete-time multi-agent systems. To overcome the shortcomings of existing reinforcement learning (RL) algorithms, we propose a novel data-based ... 详细信息
来源: 评论
Model-free Adaptive Heading control of Hovercraft Based on data-driven  21
Model-free Adaptive Heading Control of Hovercraft Based on D...
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21st ieee International conference on Mechatronics and Automation (ieee ICMA)
作者: Wu, Wenjie Su, Dayong Han, Shuyi Gao, Song Marine Design & Res Inst China 168 Zhongshan Nanyi Rd Shanghai 200011 Peoples R China
This paper addresses the heading control challenge of hovercraft, considering their unique navigational characteristics such as a minimal underwater physical field, limited resistance to wind and waves, and unstable r... 详细信息
来源: 评论
Continuous Feature Representation of Fault Location Based on Electrical Distance for Generalizable data-driven Dynamic Security Assessment
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ieee Transactions on Power systems 2025年 第4期40卷 2930-2942页
作者: Qi, Hang Li, Changgang Liu, Yutian Sun, Runjia Yan, Jiongcheng Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan250061 China
Pre-fault dynamic security assessment (DSA) of power systems needs to consider different fault locations. Existing data-driven DSA methods lack generalizable fault location features, failing to accurately assess unlea... 详细信息
来源: 评论