@inproceedings{81bad47ffb3f4c9086a6df843f5bae56,
title = "A game-theoretic approach to distributed scheduling of rigid demands on dynamical systems",
abstract = "A game-theoretic approach to load scheduling is explored within the context of constrained discrete-time linear time-invariant dynamical systems. Rigidity of individual load inputs dictates that it is only possible to translate the corresponding signals back-and-forth in time in order to form a feasible schedule. A game is devised to encode the trade-off between user sensitivities to shifts from the requested load and the need to respect constraints on the dynamic response of the system over a planning horizon. The optimal schedule is an equilibrium of the game for an appropriately selected pricing scheme. As such, learning algorithms can be used to devise distributed algorithms for recovering the optimal schedule.",
author = "Farhad Farokhi and Michael Cantoni and Iman Shames",
note = "Publisher Copyright: {\textcopyright} 2016 Engineers Australia.; 2016 Australian Control Conference, AuCC 2016 ; Conference date: 03-11-2016 Through 04-11-2016",
year = "2017",
month = mar,
day = "1",
doi = "10.1109/AUCC.2016.7868019",
language = "English",
series = "2016 Australian Control Conference, AuCC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "147--152",
booktitle = "2016 Australian Control Conference, AuCC 2016",
address = "United States",
}