Real-Time Monitoring and Control of Industrial Cyberphysical Systems With Integrated Plant-Wide Monitoring and Control Framework

被引：147

作者：

Yin, Shen ^{[1
]}

Rodriguez-Andina, Juan J. ^{[2
]}

Jiang, Yuchen ^{[3
]}

机构：

[1] Harbin Inst Technol, Dept Control Sci, Harbin, Peoples R China

[2] Univ Vigo, Dept Elect Technol, Vigo, Spain

[3] LSR, Munich, Germany

来源：

IEEE INDUSTRIAL ELECTRONICS MAGAZINE | 2019年 / 13卷 / 04期

关键词：

EXTREME LEARNING-MACHINE; CYBER-PHYSICAL CONTROL; FAULT-DIAGNOSIS; DESIGN; IMPLEMENTATION; OPTIMIZATION; SURVEILLANCE; NETWORKS; MODEL;

D O I：

10.1109/MIE.2019.2938025

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Industrial cyberphysical systems (ICPSs) are the cornerstone research subject in the era of Industry 4.0 [1]. The study of ICPSs has, therefore, become a worldwide research focus [2]-[4]. ICPSs integrate physical entities with cyber networks to build systems that can work more harmoniously, benefiting from integrated design and system-wide optimization [5]. The safety and performance of industrial systems can be improved by developing specific information infrastructure, monitoring, and control approaches aimed at maintaining controllability under external disturbances and unexpected faults [6]. Based on these observations, the design and deployment of ICPSs have both theoretical and practical significance. © 2007-2011 IEEE.

引用

页码：38 / 47

页数：10

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