Abstract
We design a distributed algorithm for generalized Nash equilibrium seeking in aggregative games with linear coupling constraints under partial-decision information, i.e., the agents have no direct access to the aggregate decision. The algorithm is derived by including dynamic tracking together with a standard projected pseudo-gradient algorithm in a fully-distributed fashion. The convergence analysis of the algorithm relies on the framework of monotone operator splitting and Krasnosel'skii-Mann fixed-point iteration with errors.
Original language | English |
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Title of host publication | Proceedings of the IEEE 58th Conference on Decision and Control, CDC 2019 |
Publisher | IEEE |
Pages | 5948-5954 |
ISBN (Electronic) | 978-1-7281-1398-2 |
DOIs | |
Publication status | Published - 2019 |
Event | 58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019 |
Conference
Conference | 58th IEEE Conference on Decision and Control, CDC 2019 |
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Country/Territory | France |
City | Nice |
Period | 11/12/19 → 13/12/19 |