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检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"
716 条 记 录,以下是301-310 订阅
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Quantitative Relationship in Terms of Time-Delay Tolerance of Two Kinds of Extended State Observers  6
Quantitative Relationship in Terms of Time-Delay Tolerance o...
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2017 ieee 6th data driven control and learning systems conference (ddcls’17)
作者: Minnan Piao Kai Zhu Mingwei Sun Zenghui Wang Zengqiang Chen College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University
Active Disturbance Rejection control(ADRC), an innovative control method, has been applied successfully in dealing with internal uncertainties and external disturbances. However, ADRC for time-delay plants is still a ... 详细信息
来源: 评论
A Novel Rotor Position Detection Method Using Morphological Filter Algorithm for Brushless DC Motor  6
A Novel Rotor Position Detection Method Using Morphological ...
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2017 ieee 6th data driven control and learning systems conference (ddcls’17)
作者: Yin Zhang Xiao-Hua Zhou Yu-Wei Zhang Xi-Sheng Dai School of Electrical and Information Engineering Guangxi University of Science and Technology Key Laboratory of Industrial Process Intelligent Control Technology of Guangxi Higher Education Institute Guangxi key laboratory of Automobile Components and Vehicle technology
In this paper, by analyzing the relationship between rotor position and phase back electromotive forces(PB-EMFs) of brushless DC motor(BLDCM), a novel rotor position detection method based on morphological filter algo... 详细信息
来源: 评论
Adaptive Optimal control of Completely Unknown systems with Relaxed PE Conditions  11
Adaptive Optimal Control of Completely Unknown Systems with ...
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11th ieee data driven control and learning systems conference, ddcls 2022
作者: Luo, Rui Peng, Zhinan Hu, Jiangping Ghosh, Bijoy Kumar School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Texas Tech University Department of Mathematics and Statistics LubbockTX79409-1042 United States
this paper proposes a novel identifier-critic (IC) learning control strategy for completely unknown nonlinear system. Different from the existing results, the proposed IC control is capable of obtaining the optimal co... 详细信息
来源: 评论
Attention-based Stacked Supervised Poisson Autoencoders for Defects Prediction in Casting-rolling process  11
Attention-based Stacked Supervised Poisson Autoencoders for ...
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11th ieee data driven control and learning systems conference, ddcls 2022
作者: Zhang, Xinmin Song, Zhihuan Ge, Zhiqiang College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China
In this paper, we propose an attention-based stacked supervised Poisson autoencoders (ASSPAE) modeling framework to predict the occurrence of defects in the casting-rolling process. ASSPAE is a novel deep learning mod... 详细信息
来源: 评论
learning-based Modeling and control of Underactuated Balance Robotic systems  13
Learning-based Modeling and Control of Underactuated Balance...
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13th ieee conference on Automation Science and Engineering (ieee CASE)
作者: Chen, Kuo Yi, Jingang Liu, Tao Rutgers State Univ Dept Mech & Aerosp Engn Piscataway NJ 08854 USA Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Sch Mech Engn Hangzhou 310027 Zhejiang Peoples R China
Underactuated balance robots represent a broad class of mechanical systems, ranging from Furuta pendulum, autonomous motorcycles, and robotic bipedal walkers, etc. the control tasks of these systems include trajectory... 详细信息
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Safe HVAC control via Batch Reinforcement learning  13
Safe HVAC Control via Batch Reinforcement Learning
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13th ACM/ieee International conference on Cyber-Physical systems (ICCPS )
作者: Liu, Hsin-Yu Balaji, Bharathan Gao, Sicun Gupta, Rajesh Hong, Dezhi Univ Calif San Diego La Jolla CA 92093 USA Amazon Seattle WA USA
Buildings account for 30% of energy use worldwide, and approximately half of it is ascribed to HVAC systems. Reinforcement learning (RL) has improved upon traditional control methods in increasing the energy efficienc... 详细信息
来源: 评论
Power-Grid controller Anomaly Detection with Enhanced Temporal Deep learning  18
Power-Grid Controller Anomaly Detection with Enhanced Tempor...
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18th ieee International conference on Trust, Security and Privacy in Computing and Communications (ieee TrustCom) / 13th ieee International conference on Big data Science and Engineering (ieee BigdataSE)
作者: He, Zecheng Raghavan, Aswin Hu, Guangyuan Chai, Sek Lee, Ruby Princeton Univ Princeton NJ 08544 USA SRI Int Princeton NJ USA
controllers of security-critical cyber-physical systems, like the power grid, are a very important class of computer systems. Attacks against the control code of a power-grid system, especially zero-day attacks, can b... 详细信息
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Emotion-driven Intelligent Product Design Based on Deep learning  13
Emotion-Driven Intelligent Product Design Based on Deep Lear...
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13th ieee International conference on Communication systems and Network Technologies, CSNT 2024
作者: Zhang, Mengmeng Polus International College Chengdu China
this research investigates the integrated application of deep learning technologies in the field of emotion-driven interior soft decoration product design. through comprehensive online surveys conducted with over 1000... 详细信息
来源: 评论
Practical Research on Intelligent Evaluation of Generative learning Resource Quality  13
Practical Research on Intelligent Evaluation of Generative L...
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13th International conference on Educational and Information Technology, ICEIT 2024
作者: Li, Ruikun Li, Kangkang School of Smart Education Jiangsu Normal University Jiangsu Xuzhou China
this study is based on the intelligent evaluation method of large language model, aiming at the evaluation problem of generative learning resources. An empirical study is conducted on the effect of intelligent evaluat... 详细信息
来源: 评论
Prediction of Ship Propulsion Power based on Bayesian optimized LightGBM Using Ship In-Service data  13
Prediction of Ship Propulsion Power based on Bayesian optimi...
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13th ieee International conference on Communications, Circuits and systems (ICCCAS)
作者: Liu Xu Zhang Antong Sun Qiang Guo Yu Yin Wenhui Yang Yunfan Bao Jiawei China Ship Sci Res Ctr Wuxi Jiangsu Peoples R China
In maritime operations, accurate prediction and control of the propulsion power of the ship's main engine are crucial, as they directly impact the fuel economy, speed performance and carbon emission control. To en... 详细信息
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