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检索条件"机构=Institute of Automatic Control Laboratory of Control Engineering and Process Automation"
539 条 记 录,以下是111-120 订阅
Deep Graph Network for process Soft Sensor Development
Deep Graph Network for Process Soft Sensor Development
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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)
作者: Mingwei Jia Yun Dai Danya Xu Tao Yang Yuan Yao Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China National Tsing Hua University Hsinchu Taiwan
In the (bio)chemical processes, traditional hardware sensors are difficult to directly measure the quality of critical products due to their time-varying, non-linear, and dynamic characteristics. This makes process so... 详细信息
来源: 评论
Enhanced Soft Sensor with Qualified Augmented Data Using Centroid Measurement Criterion
Enhanced Soft Sensor with Qualified Augmented Data Using Cen...
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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)
作者: Yun Dai Qing Yu Tao Yang Yuan Yao Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China National Tsing Hua University Hsinchu Taiwan
Development of reliable soft sensors using limited labeled samples is not an easy task in industrial processes. A selective generative adversarial network (SGAN)-based support vector regression (SGAN-SVR) soft sensor ... 详细信息
来源: 评论
An enhanced algorithm for cell-level anomaly segmentation in photovoltaic solar panels using electroluminescence imaging
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Energy 2025年 331卷
作者: Ruiyao Duan Yongjian Wang Xisong Chen Shihua Li School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing 210096 PR China Institute for Automatic Control and Complex System University of Duisburg–Essen Duisburg 47057 Germany
Electroluminescence imaging is a crucial diagnostic tool for assessing the quality and performance of photovoltaic (PV) modules. However, current research often focuses on defect detection in PV modules, neglecting th... 详细信息
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H ∞ Asynchronous control for Discrete-Time Semi-Markov Jump Systems
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IFAC-PapersOnLine 2022年 第3期55卷 143-148页
作者: Liqiang Jin Yanyan Yin Yanqing Liu Kok Lay Teo Fei Liu National Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Western Australia 6102 Australia School of Mathematical Sciences Sunway University Kuala Lumpur 47500 Malaysia Tianjin University of Finance and Economics Tianjin China
This paper investigates the problem of H ∞ asynchronous control for discrete-time semi-Markov jump systems. In practice, it is difficult to ensure that controller modes and system modes are updated synchronously. The... 详细信息
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Adaptive identifier–critic–actor neural optimal control of stochastic nonlinear systems with elastic state constraints
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Chaos, Solitons & Fractals 2025年 199卷
作者: Penghao Chen Hamid Reza Karimi Xiaoli Luan Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China Department of Mechanical Engineering Politecnico di Milano Milan 20156 Italy
This article discusses the adaptive identifier–critic–actor neural optimal control for stochastic nonstrict-feedback nonlinear systems with elastic state constraints. Reinforcement learning is used to achieve optima...
来源: 评论
Distributionally Robust Fault Detection by using Kernel Density Estimation ⁎
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IFAC-PapersOnLine 2020年 第2期53卷 652-657页
作者: Ting Xue Maiying Zhong Lijia Luo Linlin Li Steven X. Ding Institute for Automatic Control and Complex Systems University of Duisburg-Essen Germany College of Electrical Engineering and Automation Shandong University of Science and Technology China Institute of Process Equipment and Control Engineering Zhejiang University of Technology China School of Automation and Electrical Engineering University of Science and Technology Beijing China
In this paper, a method of distributionally robust fault detection (FD) is proposed for stochastic linear discrete-time systems by using the kernel density estimation (KDE) technique. For this purpose, an H 2 optimiza... 详细信息
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Teaching MPC: Which way to the promised land?
arXiv
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arXiv 2021年
作者: Faulwasser, Timm Lucia, Sergio Darup, Moritz Schulze Mönnigmann, Martin Institute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany Laboratory of Process Automation Systems TU Dortmund University Dortmund Germany Control and Cyberphysical Systems TU Dortmund University Dortmund Germany Automatic Control and Systems Theory Ruhr University Bochum Bochum Germany
Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model Predictive control (MPC) has become a major success story of systems and control with respect to industrial impact and with respe... 详细信息
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Communication Compression for Distributed Nonconvex Optimization
arXiv
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arXiv 2022年
作者: Yi, Xinlei Zhang, Shengjun Yang, Tao Chai, Tianyou Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Digital Futures Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China
This paper considers distributed nonconvex optimization with the cost functions being distributed over agents. Noting that information compression is a key tool to reduce the heavy communication load for distributed a... 详细信息
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Distributed Model-Free Adaptive Learning control of Discrete-Time Nonlinear Multiagent Systems
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IEEE transactions on neural networks and learning systems 2025年 PP卷 PP页
作者: Yong-Sheng Ma Wei-Wei Che Shi-Xu Xu Chao Deng Zheng-Guang Wu Beijing Institute of Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems School of Automation Beijing 100081 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries College of Information Science and Engineering Shenyang 110819 China Qingdao University Shandong Key Laboratory of Industrial Control Technology Department of Automation Qingdao 266071 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing 210000 China Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou 310027 China
This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is developed to learn a controll... 详细信息
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Dexterous Manipulation through Imitation Learning: A Survey
arXiv
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arXiv 2025年
作者: An, Shan Meng, Ziyu Tang, Chao Zhou, Yuning Liu, Tengyu Ding, Fangqiang Zhang, Shufang Mu, Yao Song, Ran Zhang, Wei Hou, Zeng-Guang Zhang, Hong School of Electrical and Information Engineering Tianjin University Tianjin300072 China School of Control Science and Engineering Shandong University Jinan250061 China State Key Laboratory of General Artificial Intelligence Beijing100086 China Department of Mechanical and Process Engineering ETH Zurich Zurich8092 Switzerland Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen518055 China School of Informatics University of Edinburgh EH8 9AB United Kingdom Department of Computer Science University of Hong Kong 999077 Hong Kong State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China CASIA-MUST Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering Macau University of Science and Technology 999078 China
Dexterous manipulation, which refers to the ability of a robotic hand or multi-fingered end-effector to skillfully control, reorient, and manipulate objects through precise, coordinated finger movements and adaptive f... 详细信息
来源: 评论