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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"
58079 条 记 录,以下是461-470 订阅
排序:
Fast Sparse Dynamic Matrix Estimation Method With Differential Information for Industrial process Monitoring
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IEEE TRANSACTIONS ON control SYSTEMS TECHNOLOGY 2025年 第2期33卷 512-525页
作者: Cui, Mingliang Ma, Xin Wang, Youqing Guo, Jipeng Hou, Tongze Beijing Univ Chem Technol Sch Informat Sci & Technol Beijing 100029 Peoples R China Beijing Univ Chem Technol Interdisciplinary Res Ctr Artificial Intelligence Beijing 100029 Peoples R China
With increasing complexity of industrial processes, a number of variables are becoming increasingly large in modeling and monitoring steps, which is particularly prominent in dynamic processes. To address the issue of... 详细信息
来源: 评论
Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear process
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IEEE TRANSACTIONS ON CYBERNETICS 2022年 第9期52卷 8862-8875页
作者: Wei, Chihang Zuo, Liyun Zhang, Xinmin Song, Zhihuan Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Guangdong Univ Petrochem Technol Sch Comp Maoming 525000 Peoples R China
The integration of semisupervised modeling and discriminative information has been sporadically discussed in the research literature of traditional classification modeling, while the former one would make full use of ... 详细信息
来源: 评论
Power network modeling method based on complex network  9
Power network modeling method based on complex network
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9th International conference on Energy Materials and Electrical Engineering, ICEMEE 2023
作者: Wang, Di Hu, Yaorong Feng, Yuwei Pan, Jian Zou, Jiang Zhao, Jian Power China Guizhou Electric Power Engineering Co. Ltd. Guiyang China
In order to solve the problem that it is difficult for traditional methods to effectively analyze the generation and propagation process of large-scale cascading failures in power grid macroscopically, a power network... 详细信息
来源: 评论
Generative AI for process modeling in the Steel Industry
Generative AI for Process Modeling in the Steel Industry
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AISTech 2024 Iron and Steel Technology conference
作者: Marquez, R. Morales, E. Alvarez, A. ECON Tech Corporativo Angelópolis Paseo Opera 2-Office 206 Lomas de Angelópolis Pue. Puebla72830 Mexico
This paper investigates the generation of realistic process data by utilizing adversarial networks to emulate actual steel process information. The objective is to create data resembling process data without discernib... 详细信息
来源: 评论
Finite-horizon optimal trajectory control of near space hypersonic vehicle with multi-constraints
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OPTIMAL control APPLICATIONS & METHODS 2024年 第1期45卷 302-320页
作者: Xia, Rongsheng Bu, Chunlei Yan, Xiaohui Zhou, Tongle Anhui Univ Technol Coll Elect & Informat Engn Maanshan Peoples R China Hefei Univ Coll Artificial Intelligence & Big Data Hefei Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing Peoples R China
In this article, a finite-horizon optimal trajectory control strategy is developed for near space hypersonic vehicle (NSHV) longitudinal model with multi-constraints including external disturbance, system modeling err... 详细信息
来源: 评论
Dynamic modeling and optimal control of reactive batch distillation: An experimental case study
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CHEMICAL ENGINEERING RESEARCH & DESIGN 2023年 第1期196卷 451-467页
作者: Ganesh, B. Rani, K. Yamuna Indian Inst Chem Technol Proc Dynam & Control & Artificial Intelligence Grp Proc Engn & Technol Transfer Dept CSIR Hyderabad 500007 India Chaitanya Bharathi Inst Technol Chem Engn Dept Hyderabad 500075 India
In the present study, dynamic modeling, optimal operation and control of a reactive batch distillation process is illustrated based on experimental and simulation studies using methyl acetate production case study. An... 详细信息
来源: 评论
Quality evaluation modeling of a DED-processed metallic deposition based on ResNet-50 with few training data
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JOURNAL OF INTELLIGENT MANUFACTURING 2025年 第4期36卷 2677-2693页
作者: Park, Hyunmin Kang, Yun Seok Choi, Seung-Kyum Park, Hyung Wook Ulsan Natl Inst Sci & Technol Dept Mech Engn 50 UNIST Gil Ulsan 44919 South Korea Georgia Inst Technol George W Woodruff Sch Mech Engn North Ave Atlanta GA 30332 USA
The additive-manufacturing (AM) field necessitates a robust process-monitoring system for quality assurance and control. To meet this industrial requirement, quality-evaluation models have emerged as powerful tools fo... 详细信息
来源: 评论
Numerical modeling of Electrical Conduction in Transformer Oil: Insights and analysis  2
Numerical Modeling of Electrical Conduction in Transformer O...
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2nd International conference on Electrical Engineering and Automatic control (ICEEAC)
作者: Boutana, Ilhem Mekideche, Mohamed Rachid Univ Jijel Fac Sci & Technol Lab Elect Engn & Ind Elect Jijel 18000 Algeria
Electrical conduction within the context of transformer oil stands as a dynamic and effective method widely employed in the research area of electrical engineering, specifically power systems. In this paper, we presen... 详细信息
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Online Learning of Continuous Signed Distance Fields Using Piecewise Polynomials
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第6期9卷 6020-6026页
作者: Maric, Ante Li, Yiming Calinon, Sylvain Idiap Res Inst CH-1920 Martigny Switzerland Ecole Polytech Fed Lausanne CH-1015 Lausanne Switzerland
Reasoning about distance is indispensable for establishing or avoiding contact in manipulation tasks. To this end, we present an online approach for learning implicit representations of signed distance using piecewise... 详细信息
来源: 评论
MSWI process parameter prediction based on improved case-based reasoning  36
MSWI process parameter prediction based on improved case-bas...
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36th Chinese control and Decision conference (CCDC)
作者: Cheng, Zijun Yan, Aijun Tang, Jian Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Minist Educ Engn Res Ctr Digital Community Beijing 100124 Peoples R China Beijing Univ Technol Beijing Peoples R China Beijing Lab Urban Mass Transit Beijing 100124 Peoples R China
To accurately predict the key parameters of the municipal solid waste incineration (MSWI) process, this paper proposes an improved case-based reasoning (CBR) predictive modeling method based on a deep Q network to rea... 详细信息
来源: 评论