Control for smart systems: Challenges and trends in smart cities

被引:18
作者
Jia, Qing-Shan [1 ]
Panetto, Herve [2 ]
Macchi, Marco [3 ]
Siri, Silvia [4 ]
Weichhart, Georg [5 ]
Xu, Zhanbo [6 ]
机构
[1] Tsinghua Univ, Ctr Intelligent & Networked Syst, Dept Automation, BNRist, Beijing 100084, Peoples R China
[2] Univ Lorraine, CNRS, CRAN, F-54000 Nancy, France
[3] Politecn Milan, Dept Management Econ & Ind Engn, Milan, Italy
[4] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Genoa, Italy
[5] PROFACTOR GmbH, Robot & Automat Syst, Steyr Gleink, Austria
[6] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Minist Educ, Key Lab Intelligent Networks & Network Secur, Xian 710049, Shaanxi, Peoples R China
关键词
Smart systems; Control; Smart cities; ENERGY-EFFICIENT BUILDINGS; MULTIMODAL URBAN NETWORKS; MODEL-PREDICTIVE CONTROL; DEMAND-SIDE MANAGEMENT; CYBER-PHYSICAL SYSTEMS; INDUSTRY; 4.0; BARRIER FUNCTIONS; OPTIMIZATION; FRAMEWORK; SERVICE;
D O I
10.1016/j.arcontrol.2022.04.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There have been tremendous developments in theories and technologies in control for smart systems. In this paper we review applications to various systems that are crucial for the future of smart cities, for example enterprise and manufacturing systems, transportation systems, energy systems, and data centres. Beyond discussing the existing technological trends and the methodological approaches developed so far for managing and controlling such systems, we also provide visions on the future challenges for these systems in these various aspects.
引用
收藏
页码:358 / 369
页数:12
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