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Nash Equilibria for Linear Quadratic Discrete-Time Dynamic Games via Iterative and Data-Driven Algorithms

Nash equilibria for linear quadratic discrete-time dynamic games via iterative and data-driven algorithms
descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Automatic Control, volume 69, pages 6,561-6,575 (issn: 0018-9286, eissn: 2334-3303, Copyright policy )Funded by:UKRI | DTP 2018-19 Imperial Coll...
Authors: Benita Nortmann; Andrea Monti; Mario Sassano; Thulasi Mylvaganam;

doi: 10.1109/tac.2024.3375249

handle: 2108/368190 , 10044/1/110247

Nash Equilibria for Linear Quadratic Discrete-Time Dynamic Games via Iterative and Data-Driven Algorithms

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Keywords

Dynamic games, Settore ING-INF/04, 330, Data-driven methods, Optimisation algorithms, Linear systems, Equilibrium refinements, Algorithmic game theory and complexity, Games of timing, Settore IINF-04/A - Automatica, Game theory, 004, 510

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid