Imperial College London
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DrDarioPaccagnan

Faculty of Engineering, Department of Computing

Senior Lecturer
 
 
 
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Contact

 

d.paccagnan Website

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Paccagnan:2016:10.1109/cdc.2016.7799210,
author = {Paccagnan, D and Gentile, B and Parise, F and Kamgarpour, M and Lygeros, J},
doi = {10.1109/cdc.2016.7799210},
pages = {6123--6128},
publisher = {IEEE},
title = {Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints},
url = {http://dx.doi.org/10.1109/cdc.2016.7799210},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We analyse deterministic aggregative games, with large but finite number of players, that are subject to both local and coupling constraints. Firstly, we derive sufficient conditions for the existence of a generalized Nash equilibrium, by using the theory of variational inequalities together with the specific structure of the objective functions and constraints. Secondly, we present a coordination scheme, belonging to the class of asymmetric projection algorithms, and we prove that it converges R-linearly to a generalized Nash equilibrium. To this end, we extend the available results on asymmetric projection algorithms to our setting. Finally, we show that the proposed scheme can be implemented in a decentralized fashion and it is suitable for the analysis of large populations. Our theoretical results are applied to the problem of charging a fleet of plug-in electric vehicles, in the presence of capacity constraints coupling the individual demands.
AU  - Paccagnan,D
AU  - Gentile,B
AU  - Parise,F
AU  - Kamgarpour,M
AU  - Lygeros,J
DO  - 10.1109/cdc.2016.7799210
EP  - 6128
PB  - IEEE
PY  - 2016///
SP  - 6123
TI  - Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints
UR  - http://dx.doi.org/10.1109/cdc.2016.7799210
UR  - https://ieeexplore.ieee.org/document/7799210
UR  - http://hdl.handle.net/10044/1/84041
ER  -
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