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Titlebook: Digital-Twin-Enabled Smart Control Engineering; A Framework and Case Jairo Viola,YangQuan Chen Book 2023 The Editor(s) (if applicable) and

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发表于 2025-3-21 16:19:56 | 显示全部楼层 |阅读模式
书目名称Digital-Twin-Enabled Smart Control Engineering
副标题A Framework and Case
编辑Jairo Viola,YangQuan Chen
视频video
概述Is supported by many in-laboratory design and building examples of digital twins.Presents digital twin design framework that promotes self-optimization in control systems.Provides modeling techniques
丛书名称Synthesis Lectures on Engineering, Science, and Technology
图书封面Titlebook: Digital-Twin-Enabled Smart Control Engineering; A Framework and Case Jairo Viola,YangQuan Chen Book 2023 The Editor(s) (if applicable) and
描述.This book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT’s behavior-matching with the real system or physical twin..The methods of creating a DT detailed in .Digital-Twin-Enabled Smart Control Engineering .make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilitiesin feedback control systems..The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process
出版日期Book 2023
关键词Control Systems; Digital Twin; Internet of Things; IoT; Industry 4; 0; Intelligent Control Engineering; Ind
版次1
doihttps://doi.org/10.1007/978-3-031-22140-8
isbn_softcover978-3-031-22142-2
isbn_ebook978-3-031-22140-8Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 20:50:02 | 显示全部楼层
2690-0300 l systems..The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process978-3-031-22142-2978-3-031-22140-8Series ISSN 2690-0300 Series E-ISSN 2690-0327
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Digital Twin Background,d behavior prediction tasks that enhance the understanding of these systems through new enabling capabilities like real-time analytics, parallel sensing, and smart control engineering. This chapter presents the background of digital twin, the motivations for its use on smart control systems, and an applications literature review in recent years.
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https://doi.org/10.1007/978-1-349-14413-6e system closed-loop performance specifications with applications to control a thermal and a mechatronic system validated via Digital Twin. In addition, a simulation benchmark is designed to assess the SOC controller performance using a normalized first-order plus dead time model of the thermal system.
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Digital Twin Enabling Capabilities,tection algorithms using only the Digital Twin can detect accurately sensor and actuator faults in the real-time running system as well as predict the remaining useful life of the Peltier thermoelectric heating element using linear and exponential models.
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Book 2023 on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analyti
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