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University of Groningen Research Portal
Conference object . 2018
License: taverne
https://doi.org/10.23919/ecc.2...
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Conference object . 2018
Data sources: DBLP
DBLP
Article . 2018
Data sources: DBLP
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Continuous-time integral dynamics for aggregative game equilibrium seeking

Authors: Persis, Claudio De; Grammatico, Sergio;

Continuous-time integral dynamics for aggregative game equilibrium seeking

Abstract

In this paper, we consider continuous-time semi-decentralized dynamics for the equilibrium computation in a class of aggregative games. Specifically, we propose a scheme where decentralized projected-gradient dynamics are driven by an integral control law. To prove global exponential convergence of the proposed dynamics to an aggregative equilibrium, we adopt a quadratic Lyapunov function argument. We derive a sufficient condition for global convergence that we position within the recent literature on aggregative games, and in particular we show that it improves on established results.

Country
Netherlands
Keywords

Noncooperative game theory, FOS: Computer and information sciences, Decentralized control, Multi-agent systems, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Projected dynamical systems, Computer Science - Computer Science and Game Theory, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Optimization and Control, Computer Science and Game Theory (cs.GT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green