University of Groningen
Multi-agent network games with applications in smart electric mobility
Cenedese, Carlo
DOI:
10.33612/diss.166885555
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Publication date:
2021
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Cenedese, C. (2021). Multi-agent network games with applications in smart electric mobility. University of
Groningen. https://doi.org/10.33612/diss.166885555
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Propositions
belonging to the thesisMulti-agent network games with applications
in smart electric mobility
by
Carlo Cenedese
1. Noncoperative network games over a directed strongly connected graph globally converge to a Nash equilibrium (Ch.2).
2. A semi-decentralized control algorithm can ensure global convergence of asynchronous and time-varying constrained network games to a generalized Nash equilibrium (Ch.3).
3. Adopting auxiliary edge variables to develop a fully decentralized and asynchronous generalized Nash equilibrium seeking algorithm makes it more scalable and efficient (Ch.4).
4. Partial rationality is an important mechanism arising in several decision-making processes in which every decision maker’s possible actions are restricted by the decisions of the others (Ch.5).
5. A dynamic energy price varying proportionally to the energy demand leads to an optimal charging schedule of plug-in hybrid electric vehicles and creates a valley-filling effect in the energy demand (Ch.6).
6. The level of traffic congestion, on a highway with a charging station for plug-in hybrid electric vehicles, can be alleviated durplug-ing the rush hours by adopting an energy price proportional to the average travel time (Ch.7). 7. Because I'd like to be the sort of person who can enjoy things at the time
instead of having to go back in my head and enjoy them then.
~David Foster Wallace
