Proximal dynamics in multi-agent network games

Title

Proximal dynamics in multi-agent network games

 Author

Grammatico, S. (TU Delft Team Bart De Schutter) ORCID 0000-0002-6021-2350

 Date

2017

 Abstract

In this paper, we consider dynamics and protocols for agents seeking an equilibrium in a network game with proximal quadratic cost coupling. We adopt an operator theoretic perspective to show global convergence to a network equilibrium, under the assumption of convex cost functions with proximal quadratic couplings, time-invariant and time-varying communication graph along with convex local constraints, and time-invariant communication graph along with convex local constraints and separable convex coupling constraints. We show that proximal dynamics generalize opinion dynamics in social networks and are applicable to distributed tertiary control in power networks.


 Subject

Control systems
Convergence
Cost function
Couplings
Games
Power system dynamics
Protocols

 To reference this document use:

http://resolver.tudelft.nl/uuid:cbd33c9c-e148-40f5-acac-747b67b811a4

 DOI

https://doi.org/10.1109/TCNS.2017.2754358

 ISSN

2325-5870

 Source

IEEE Transactions on Control of Network Systems, 5 (2018) (4), 1707-1716

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2017 S. Grammatico
Files
PDF 08046094.pdf 1.01 MB
Close viewer