Risk-Aware Control and Games in Engineering

Julian Barreiro-Gomez, Hamidou Tembine, Leonardo Stella, Dario Bauso, Patrizio Colaneri

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


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 riskaware perspective. Among such applications, we discuss about the electric vehicles, and the bio-inspired collective decisionmaking.

Original languageEnglish
Title of host publication2020 59th IEEE Conference on Decision and Control, CDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages11
ISBN (Electronic)978-1-7281-7447-1
ISBN (Print)978-1-7281-7448-8
Publication statusPublished - 14-Dec-2020
Event59th IEEE Conference on Decision and Control, CDC 2020 - Virtual, Jeju Island, Korea, Republic of
Duration: 14-Dec-202018-Dec-2020

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370


Conference59th IEEE Conference on Decision and Control, CDC 2020
Country/TerritoryKorea, Republic of
CityVirtual, Jeju Island


  • COVID-19
  • engineering applications
  • meanfield-type control and game theory
  • Risk-aware control and game theory

Cite this