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检索条件"机构=Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education"
1304 条 记 录,以下是11-20 订阅
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Novel titanium vanadate with superior Na^(+) transport kinetics for rapid charging and low-temperature sodium ion batteries
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Green Energy & Environment 2025年 第2期10卷 374-381页
作者: Dan Lv Liehao Wei Cheng Wang Mingyue Wang Zhongchao Bai Yameng Fan Dongdong Wang Nana Wang Jian Yang Key Laboratory of Advanced Ceramics and Machining Technology(Ministry of Education) School of Materials Science and EngineeringTianjin UniversityTianjin300072China Key Laboratory of Colloid and Interface Chemistry Ministry of EducationSchool of Chemistry and Chemical EngineeringShandong UniversityJinan250100China Tianjin Key Lab of Indoor Air Environmental Quality Control School of Environmental Science and TechnologyTianjin UniversityTianjin300072China Institute for Superconducting and Electronic Materials University of WollongongWollongongAustralia Institute of Energy Materials Science(IEMS) University of Shanghai for Science and Technology516 Jungong RoadShanghai200093China
Sodium-ion batteries(SIBs)hold great promise for large-scale energy storage in the post-lithium-ion battery era due to their high rate performance and long lifespan,although their sluggish Na^(+) transformation kineti... 详细信息
来源: 评论
Influence Function Based Off-policy Q-learning control for Markov Jump Systems
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International Journal of control, Automation and Systems 2025年 第5期23卷 1411-1420页
作者: Zou, Yuling Wen, Jiwei Xue, Huiwen Luan, Xiaoli Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) the School of Internet of Things Engineering Jiangnan University Wuxi China
This paper presents an off-policy Q-learning approach based on influence function for addressing H∞ control of Markov jump systems. Unlike existing literatures, the mode classification and parallel update method is d...
来源: 评论
Differentially Private Opinion Dynamics of Influence Networks
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IEEE Transactions on control of Network Systems 2025年
作者: Wu, Guanglei Zhang, Wenbing Mao, Shuai Wu, Xiaotai Tang, Yang Yangzhou University School of Mathematical Sciences Jiangsu225002 China Nantong University Department of Electrical Engineering Nantong226019 China Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu241000 China East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China
In this paper, a unified influence networks model incorporating differential privacy mechanisms (DPMs), called the differentially private opinion dynamics (DPODs) model is proposed. In this model, each individual uses... 详细信息
来源: 评论
Robustness of gross primary production estimation from long-term reconstructed solar-induced chlorophyll fluorescence varies with greenness on a global scale
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Journal of Applied Remote Sensing 2025年 第1期19卷
作者: Fu, Lijiang Xia, Qian Tang, Hao Chen, Junqing Tan, Jinglu Guo, Ya Jiangnan University Ministry of Education Key Laboratory of Advanced Process Control for Light Industry Wuxi China Changshu Institute of Technology School of Electrical Engineering and Automation Changshu China University of Missouri Department of Chemical and Biomedical Engineering ColumbiaMO United States
Long-term reconstructed solar-induced chlorophyll fluorescence (SIF) derived from raw gridded SIF has been used for the estimation of gross primary production (GPP), but the robustness of the spatial relationship may ... 详细信息
来源: 评论
Multi-scale feature fused stacked autoencoder and its application for soft sensor modeling
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Chinese Journal of chemical Engineering 2025年 81卷 241-254页
作者: Li, Zhi Xia, Yuchong Long, Jian Liu, Chensheng Zhang, Longfei State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai 200237 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Huzhou Institute of Industrial Control Technology Huzhou313099 China Engineering Research Center of Process System Engineering Ministry of Education East China University of Science and Technology Shanghai200237 China
Deep Learning has been widely used to model soft sensors in modern industrial processes with nonlinear variables and uncertainty. Due to the outstanding ability for high-level feature extraction, stacked autoencoder (... 详细信息
来源: 评论
Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist
Error Bounds Revisited, and How to Use Bayesian Statistics W...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Ning Xu Christopher M. Foster Jonathan H. Manton Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi PR China Department of Electrical and Electronic Engineering The University of Melbourne Parkville Australia
Signal processing makes extensive use of point estimators and accompanying error bounds. These work well up until the likelihood function has two or more high peaks. When it is important for an estimator to remain rel... 详细信息
来源: 评论
A production planning benchmark for real-world refinery-petrochemical complexes
arXiv
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arXiv 2025年
作者: Du, Wenli Wang, Chuan Fan, Chen Li, Zhi Zhong, Yeke Kang, Tianao Liang, Ziting Yang, Minglei Qian, Feng Dai, Xin State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai200237 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China
To achieve digital intelligence transformation and carbon neutrality, effective production planning is crucial for integrated refinery-petrochemical complexes. Modern refinery planning relies on advanced optimization ... 详细信息
来源: 评论
Scatter Search Based Particle Swarm optimization Algorithm for Earliness/Tardiness Flowshop Scheduling with Uncertainty
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International Journal of Automation and computing 2016年 第3期13卷 285-295页
作者: Jia-Can Geng Zhe Cui Xing-Sheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology
Considering the imprecise nature of the data in real-world problems, the earliness/tardiness (E/T) fiowshop scheduling problem with uncertain processing time and distinct due windows is concerned in this paper. A fu... 详细信息
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Interfacial Polarization-Enabled High Anti-Interference for Fiber Pressure Sensors
SSRN
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SSRN 2025年
作者: Liu, Lu Huang, Xin Zhao, Kezheng Jiang, Gaoming Cong, Honglian Ramakrishna, Seeram He, Haijun Engineering Research Center for Knitting Technology Ministry of Education Jiangnan University Wuxi214122 China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Faculty of Engineering Department of Mechanical Engineering National University of Singapore Singapore117574 Singapore
Fiber pressure sensors possess the ability to be integrated into intelligent fabrics or garments due to their flexible one-dimensional (1D) size, thus playing a crucial role in wearable electronics and robotics. Howev... 详细信息
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MOFs-based porous liquids for CO2 capture and utilization
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Green Energy and Environment 2025年
作者: Wang, Xun Liu, Yuxi Dai, Hongxing Wei, Zhen Xie, Shaohua Deng, Jiguang Beijing Key Laboratory for Green Catalysis and Separation Key Laboratory of Beijing on Regional Air Pollution Control Key Laboratory of Advanced Functional Materials Education Ministry of China College of Materials Science and Engineering Beijing University of Technology Beijing100124 China Department of Chemical and Environmental Engineering University of California RiversideCA92521 United States
Due to the greenhouse effect caused by carbon dioxide (CO2) emission, much attention has been paid for the removal of CO2. Porous liquids (PLs), as new type of liquid materials, have obvious advantages in mass and hea... 详细信息
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