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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631-640 订阅
AI-driven Approach for Detecting Cyber-Attacks Targeting Two-Area Four-Machine System  5
AI-Driven Approach for Detecting Cyber-Attacks Targeting Two...
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5th Annual ieee Kansas Power and Energy conference (KPEC)
作者: Elshamy, Ahmed Abughali, Ahmed Alansari, Mohamad Habash, Obadah Al Sumaiti, Ameena Svetinovic, Davor Khalifa Univ Dept Elect Engn & Comp Sci Abu Dhabi U Arab Emirates
With the increased dependency on Wide Area Network (WAN) signals in power systems for critical functions, cyber-attacks on the communication lines can lead to catastrophic results, such as the complete shutdown of a c... 详细信息
来源: 评论
A Norm Optimal Iterative learning control Approach with Efficient Computation  13
A Norm Optimal Iterative Learning Control Approach with Effi...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Gao, Luyuan Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Paszke, Wojciech Jiangnan University Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Wuxi214122 China School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China Institute of Automation University of Zielona Gora Zielona Gora Poland
Iterative learning control (ILC) is excellently applied to output tracking for systems that perform repetitive tasks. Classical norm optimal ILC (NOILC) approach yields optimal control inputs by minimizing a quadratic... 详细信息
来源: 评论
data Preprocessing Method for Landslide Displacement Prediction Based on XG Boost  13
Data Preprocessing Method for Landslide Displacement Predict...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Luo, Shuang El, Xinhua Li, Xiaoli Beijing University of Technology Faculty of Information Technology Beijing100124 China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China
In machine learning-driven landslide prediction models, data quality directly determines the accuracy of landslide predictions. Currently, data preprocessing methods mainly involve fitting the data using moving averag... 详细信息
来源: 评论
Neural Fault Observer-Based On-Board Prognostics for Automotive Electric Power Steering systems
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ieee ACCESS 2025年 13卷 42312-42321页
作者: Kim, Gyuwon Won, Jongick Ko, Sangjin Lee, Jinhwan HL Mando Corp Global Res & Dev Ctr Seongnam 13486 South Korea
Electric power steering (EPS) systems form a fundamental unit in modern automotive vehicles, providing motor assistance to aid the driver's manual maneuvering. Preventing loss of assist (LoA) in advance is critica... 详细信息
来源: 评论
FedDiff: Diffusion Model driven Federated learning for Multi-Modal and Multi-Clients
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ieee TRANSACTIONS ON CIRCUITS AND systems FOR VIDEO TECHNOLOGY 2024年 第10期34卷 10353-10367页
作者: Li, Daixun Xie, Weiying Wang, Zixuan Lu, Yibing Li, Yunsong Fang, Leyuan Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Hunan Univ Coll Elect & Informat Engn Changsha 410082 Peoples R China
With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks. While dif... 详细信息
来源: 评论
Off-Policy learning H∞ Cooperative Optimal Output Regulation for Unknown Multiagent systems Without Initial Stabilizing Gains
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ieee TRANSACTIONS ON INDUSTRIAL INFORMATICS 2024年 第11期20卷 13441-13451页
作者: Li, Dongdong Dong, Jiuxiang Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China Northeastern Univ Minist Educ Key Lab Vibrat & Control Aeroprop Syst Shenyang 110819 Peoples R China
In this article, an H-infinity cooperative optimal output regulation (H-infinity) method based on policy iteration is proposed for unknown multiagent systems (MASs). First, the dynamics matrix and states of the unknow... 详细信息
来源: 评论
Real-Time Conflict-Free Path Planning for Multi-AGVs Based on Deep Reinforcement learning  13
Real-Time Conflict-Free Path Planning for Multi-AGVs Based o...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Yang, Guodong Zhong, Renxin School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University Guangdong Provincial Key Laboratory of Intelligent Transportation System Shenzhen518107 China
Automated guided vehicles (AGVs) are crucial transportation equipment that connects quay cranes (QCs) with yard cranes (YCs) in automated container terminals (ACTs). Ensuring real-time path planning without conflicts ... 详细信息
来源: 评论
Adaptive Neural Network-Based Terminal Sliding Mode control for AUV  13
Adaptive Neural Network-Based Terminal Sliding Mode Control ...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Jia, Wenjie Wang, Shubo Gao, Qingyi College of Automation Qingdao Unversity Qingdao266071 China
This paper proposes a fast terminal sliding mode control based on adaptive neural network to address the problem of external interference and internal uncertainty in trajectory tracking control for a six degree of fre... 详细信息
来源: 评论
Autonomous Vehicle Lane-Change control Based on Model Predictive control with control Barrier Function  13
Autonomous Vehicle Lane-Change Control Based on Model Predic...
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13th ieee data driven control and learning systems conference, DDCLS 2024
作者: Chen, Xiaoya Liu, Xiangbin Zhang, Min School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China
Vehicle lane change is one of the most common driving behaviors. It is of great significance to ensure that the autonomous vehicle can change lanes safely and accurately. Therefore, in this paper, a model predictive c... 详细信息
来源: 评论
Resilient control of Networked Microgrids Using Vertical Federated Reinforcement learning: Designs and Real-Time Test-Bed Validations
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ieee TRANSACTIONS ON SMART GRID 2025年 第2期16卷 1897-1910页
作者: Mukherjee, Sayak Hossain, Ramij Raja Mohiuddin, Sheik M. Liu, Yuan Du, Wei Adetola, Veronica Jinsiwale, Rohit A. Huang, Qiuhua Yin, Tianzhixi Singhal, Ankit Pacific Northwest Natl Lab Richland WA 99354 USA Colorado Sch Mines Elect Engn Dept Golden CO 80401 USA Indian Inst Technol Delhi Elect Engn Dept New Delhi 110016 India
Improving system-level resiliency of networked microgrids against adversarial cyber-attacks is an important aspect in the current regime of increased inverter-based resources (IBRs). To achieve that, this paper contri... 详细信息
来源: 评论