Aggregative control of large populations of noncooperative agents

S. Grammatico

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

7 Citations (Scopus)


We consider the problem to control a large population of noncooperative heterogeneous agents, each with strongly convex cost function depending on the average population state and convex constraints, towards an aggregative Nash equilibrium. We assume a minimal information structure through which a central controller can broadcast incentive signals to control the decentralized optimal responses of the agents. We propose a dynamic controller that, based on fixed point operator theory arguments, ensures global convergence if a sufficient condition on the matrix parameter defining the cost functions holds, yet independently on the convex constraints.

Original languageEnglish
Title of host publicationIEEE Conference on Decision and Control (CDC 2016), 12-14 December 2016, Las Vegas, Nevada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5090-1837-6
Publication statusPublished - 27 Dec 2016
Event55th IEEE Conference on Decision and Control (CDC 2016) - Aria Resort and Casino, Las Vegas, United States
Duration: 12 Dec 201614 Dec 2016
Conference number: 55


Conference55th IEEE Conference on Decision and Control (CDC 2016)
Abbreviated titleCDC02016
Country/TerritoryUnited States
CityLas Vegas
Internet address


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