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检索条件"任意字段=10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021"
359 条 记 录,以下是301-310 订阅
排序:
Deep Metric learning with Impulsive Neural Network  13
Deep Metric Learning with Impulsive Neural Network
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13th ieee data driven control and learning systems conference, ddcls 2024
作者: Chen, Hong-Zhou Hu, Bin Chen, Long Guan, Zhi-Hong School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China School of Future Technology South China University of Technology Guangzhou510641 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China
Neural networks with siamese and triplet structures can discriminate between samples by explicitly learning the distance measure. But the dominant metric learning model based on deep neural networks (DNN) has issues w... 详细信息
来源: 评论
Observer-Based Fault Tolerant Formation control of Multi-Agent systems via Adaptive Dynamic Programming  13
Observer-Based Fault Tolerant Formation Control of Multi-Age...
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13th ieee data driven control and learning systems conference, ddcls 2024
作者: Zhang, Yongwei Zhao, Bo Liu, Derong College of Mathematics and Informatics South China Agricultural University Guangzhou510642 China School of Systems Science Beijing Normal University Beijing100875 China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China
this paper develops a fault tolerant formation control scheme for multi-agent systems (MASs) by using adaptive dynamic programming. In MASs, there exist one leader and multiple followers, where the leader is a generat... 详细信息
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Fault-Tolerant control for Electromagnetic Suspension System of Maglev Train: Comprehensive Research and Design  13
Fault-Tolerant Control for Electromagnetic Suspension System...
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13th ieee data driven control and learning systems conference, ddcls 2024
作者: Liu, Junhao Dai, Chunhui Sun, Shangrongxi Wang, Hao Li, Xiaolong College of Intelligence Science and Technology National University of Defense Technology Hunan Changsha410073 China Hunan Provincial Key Laboratory of Electromagnetic Levitation and Propulsion Technology Hunan Changsha410073 China Northwest Institute of Electromechanical Technology Shanxi Xian712099 China
Maglev technology, as an advanced transit technology, have garnered global attention due to their remarkable high-speed performance, energy efficiency, environmental friendliness, and comfortable ride experience. they... 详细信息
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A Multi-stage Optimized Fault Diagnosis Model for Imbalanced Fault data in Manufacturing Process  11
A Multi-stage Optimized Fault Diagnosis Model for Imbalanced...
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11th ieee data driven control and learning systems conference, ddcls 2022
作者: Lai, Zhouhao Dong, Yan Ren, Hongru Lu, Renquan Guangdong University of Technology School of Computer Science and Technology and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China
Fault diagnosis of equipment in the manufacturing process is particularly important, and it is an indispensable link in intelligent manufacturing. the fault data generated by the equipment during the manufacturing pro... 详细信息
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A Quality Prediction Hybrid Model of Manufacturing Process Based on Genetic Programming  11
A Quality Prediction Hybrid Model of Manufacturing Process B...
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11th ieee data driven control and learning systems conference, ddcls 2022
作者: Peng, Chong Cheng, Zhijian Ren, Hongru Lu, Renquan Guangdong University of Technology School of Computer Science and Technology and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangzhou510006 China
the design of manufacturing parameters in the initial stage is backed by quality prediction to realise intelligent manufacturing. Accurate prediction translates to better quality, lower costs and more flexibility. How... 详细信息
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Anti-Windup Active Power control for Wind Turbines Considering Loads Reduction  13
Anti-Windup Active Power Control for Wind Turbines Consideri...
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13th ieee data driven control and learning systems conference, ddcls 2024
作者: Wang, Guozhong Luo, Hao Jiao, Xuguo Yang, Zhibo Zhao, Xinxin School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China
In recent years, the proportion of wind power in electricity contribution is increasing, and wind power generation technology has developed rapidly. How to enhance the stability of wind turbine systems and extend thei... 详细信息
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data-driven Active Power Dispatch for Wind Farms  13
Data-Driven Active Power Dispatch for Wind Farms
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13th ieee data driven control and learning systems conference, ddcls 2024
作者: Jiao, Xuguo Zhang, Daoyuan Wang, Xin Ma, Zhaoxing Zhang, Zhenyong Liu, Wenfeng School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Ministry of Education Shandong Computer Science Center Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China School of Civil Engineering Qingdao University of Technology Qingdao266520 China
Active power dispatch of wind farms plays an important role in power grid scheduling. In this paper, a data-driven active power dispatch strategy for wind farms is proposed, which uses the key point of minimizing the ... 详细信息
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data-driven Based Optimal Output-Feedback control of Continuous-Time systems  10
Data-Driven Based Optimal Output-Feedback Control of Continu...
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10th International conference on Modelling, Identification and control (ICMIC)
作者: Li, Zican Wu, Tao Na, Jing Zhao, Jun Gao, Guanbin Herrmann, Guido Kunming Univ Sci & Technol Fac Mech & Elect Engn Kunming 650500 Yunnan Peoples R China Univ Bristol Dept Mech Engn Bristol BS8 1TR Avon England
In this paper, we propose a novel method to solve the optimal output-feedback control problem of continuous-time (CT) linear systems based on a data-driven based reinforcement learning (RL). An output-feedback Riccati... 详细信息
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An Adaptive Machine learning-based threat Detection Framework for Industrial Communication Networks  10
An Adaptive Machine Learning-based Threat Detection Framewor...
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10th ieee International conference on Communication systems and Network Technologies, CSNT 2021
作者: Bebortta, Sujit Singh, Sumanta Kumar Department of Computer Science and Engineering College of Engineering and Technology Bhubaneswar751003 India
the development in sophisticated sensory devices has largely revolutionized industrial control systems (ICS). With the popularity of the fourth industrial revolution, which is also referred to as Industry 4.0, more la... 详细信息
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Towards Safe Machine learning for CPS Infer Uncertainty from Training data  19
Towards Safe Machine Learning for CPS Infer Uncertainty from...
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10th ACM/ieee International conference on Cyber-Physical systems (ICCPS)
作者: Gu, Xiaozhe Easwaran, Arvind Nanyang Technol Univ Energy Res Inst Singapore Singapore Nanyang Technol Univ Sch Comp Sci & Entineering Singapore Singapore
Machine learning (ML) techniques are increasingly applied to decision-making and control problems in Cyber-Physical systems among which many are safety-critical, e.g., chemical plants, robotics, autonomous vehicles. D... 详细信息
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