Risk-Aware Control and Games in Engineering

被引:0
作者
Barreiro-Gomez, Julian [1 ,2 ]
Tembine, Hamidou [1 ,2 ]
Stella, Leonardo [3 ]
Bauso, Dario [4 ,5 ]
Colaneri, Patrizio [6 ]
机构
[1] New York Univ Abu Dhabi NYUAD, Learning & Game Theory Lab L&G Lab, Saadiyat Campus POB 129188, Abu Dhabi, U Arab Emirates
[2] New York Univ Abu Dhabi NYUAD, Ctr Stabil Instabil & Tur Bulence SITE, Saadiyat Campus POB 129188, Abu Dhabi, U Arab Emirates
[3] Univ Derby, Fac Elect Comp & Math, Dept Comp, Kedleston Rd, Derby DE22 1GB, England
[4] Univ Groningen, Fac Sci & Engn, Jan C Willems Ctr Syst & Control, ENTEG, Groningen, Netherlands
[5] Univ Palermo, Dipartimento Ingn, Palermo, Italy
[6] Politecn Milan, Dipartimento Elettron & Informaz, Milan, Italy
来源
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2020年
关键词
Risk-aware control and game theory; mean-field-type control and game theory; COVID-19; engineering applications; STOCHASTIC MAXIMUM PRINCIPLE; MEAN-FIELD GAMES; DYNAMIC DEMAND; MANAGEMENT; NETWORKS; MODEL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a brief tutorial on risk-aware control and game theory applied to engineering problems by solving a backward-forward partial-integro differential system composed of the Hamilton-Jacobi-Bellman and Fokker-Planck coupled equations. First, we discuss about the role that risk terms play in the engineering field. Then, both the risk-aware control and game problems are stated and the computation of the corresponding solutions is presented. We mainly focus on a basic propagation regulation of the coronavirus disease by using mean-field-type control. Hence, we discuss other engineering applications that can be addressed by using the same risk-aware perspective. Among such applications, we discuss about the electric vehicles, and the bio-inspired collective decision-making.
引用
收藏
页码:3860 / 3870
页数:11
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