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IEEE Roger Brockett Memorial Fund 罗杰·布罗克特纪念基金
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3310691
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引用次数: 0
Iury Bessa [PhDs in Control] 尤里·贝萨[控制博士]
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291910
Iury Bessa
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引用次数: 0
NCCR Automation in Switzerland [Institutes in Control] 瑞士的NCCR自动化[控制研究所]
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291911
Elise Cahard, Florian Dšrfler, John Lygeros, Linda Seward
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引用次数: 0
Chao Chen [PhDs in Control] Chao Chen[控制博士]
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291899
Chao Chen
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引用次数: 0
Control of Diesel Engines [25 Years Ago] 柴油发动机的控制[25年前]
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291629
L. Guzzella, A. Amstutz
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引用次数: 0
IEEE App IEEE软件
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3310692
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引用次数: 0
Data-Driven Control Based on the Behavioral Approach: From Theory to Applications in Power Systems 基于行为方法的数据驱动控制:从理论到电力系统的应用
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291638
Ivan Markovsky, Linbin Huang, Florian Dörfler
{"title":"Data-Driven Control Based on the Behavioral Approach: From Theory to Applications in Power Systems","authors":"Ivan Markovsky, Linbin Huang, Florian Dörfler","doi":"10.1109/mcs.2023.3291638","DOIUrl":"https://doi.org/10.1109/mcs.2023.3291638","url":null,"abstract":"Physics aims to describe, classify, and predict natural phenomena, while engineering aims to design new or modify existing ones. A phenomenon is characterized by some observed variables.","PeriodicalId":55028,"journal":{"name":"IEEE Control Systems Magazine","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control 系统辨识与控制的核方法与高斯过程:正则化核学习控制的路线图
3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI: 10.1109/mcs.2023.3291625
Algo Carè, Ruggero Carli, Alberto Dalla Libera, Diego Romeres, Gianluigi Pillonetto
{"title":"Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control","authors":"Algo Carè, Ruggero Carli, Alberto Dalla Libera, Diego Romeres, Gianluigi Pillonetto","doi":"10.1109/mcs.2023.3291625","DOIUrl":"https://doi.org/10.1109/mcs.2023.3291625","url":null,"abstract":"The commonly adopted route to control a dynamic system and make it follow the desired behavior consists of two steps. First, a model of the system is learned from input–output data, a task known as <italic xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">system identification</i> in the engineering literature. Here, an important point is not only to derive a nominal model of the plant but also confidence bounds around it. The information coming from the first step is then exploited to design a controller that should guarantee a certain performance also under the uncertainty affecting the model. This classical way to control dynamic systems has recently been the subject of new intense research, thanks to an interesting cross-fertilization with the field of machine learning. New system identification and control techniques have been developed with links to function estimation and mathematical foundations in reproducing kernel Hilbert spaces (RKHSs) and Gaussian processes (GPs). This has become known as the <italic xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">Gaussian regression (kernel-based) approach to system identification and control</i> . It is the purpose of this article to give an overview of this development (see “Summary”).","PeriodicalId":55028,"journal":{"name":"IEEE Control Systems Magazine","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135368078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Call for Interest to Organize Future CDC and CCTA Conferences [CSS News] 呼吁有兴趣组织未来的疾病预防控制中心和CCTA会议[CSS新闻]
IF 5.7 3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273495
Carolyn Beck, A. Giua
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引用次数: 0
Anthony Thompson [Ph.D.s In Control] Anthony Thompson[控制学博士]
IF 5.7 3区 计算机科学
IEEE Control Systems Magazine Pub Date : 2023-08-01 DOI: 10.1109/mcs.2023.3273798
A. Thompson
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引用次数: 0
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