Decentralized and selfish optimality in mean field problems with nonuniform agents

Petros G. Voulgaris; Nicola Elia

doi:10.1109/tac.2025.3582174

Decentralized and selfish optimality in mean field problems with nonuniform agents

Petros G. Voulgaris, Nicola Elia

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we take an input-output approach to expand the study of cooperative multi-agent optimization problems that admit decentralized and selfish solutions. We extend the results of our previous work on problems with identical agents to nonidentical agents and demonstrate that for the H_∞ and H₂ norm minimization, the optimal controller is decentralized and selfish as the number of agents n grows to infinity, provided a uniform boundedness condition on the open loop of the collective is satisfied.

Original language	English (US)
Journal	IEEE Transactions on Automatic Control
DOIs	https://doi.org/10.1109/tac.2025.3582174
State	Accepted/In press - 2025

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Keywords

Decentralized control
Mean Field games

Publisher link

10.1109/tac.2025.3582174

Cite this

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KW - Mean Field games

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ER -

Decentralized and selfish optimality in mean field problems with nonuniform agents

Abstract

Bibliographical note

Keywords

Publisher link

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Cite this