Beyond Nash Solutions for Differential Graphical Games

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Victor G. Lopez
  • Frank L. Lewis
  • Mushuang Liu
  • Yan Wan

Organisationseinheiten

Externe Organisationen

  • University of Texas at Arlington
  • University of Missouri
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Details

OriginalspracheEnglisch
Seiten (von - bis)5791-5797
Seitenumfang7
FachzeitschriftIEEE Transactions on Automatic Control
Jahrgang68
Ausgabenummer9
PublikationsstatusVeröffentlicht - 20 Dez. 2022

Abstract

Differential graphical games model the interaction between networked dynamical agents that do not possess global state information available. In general, this lack of global information prevents the agents from playing their optimal Nash strategies. In this article, two different solution concepts for graphical games are proposed as practical alternatives when Nash equilibrium is not attainable among the players. The proposed solutions consider the case on which the players make optimistic assumptions about their neighbors, and are characterized by providing distributed, linear control policies. The robustness properties of each solution, in terms of the gain and phase margins, are also determined.

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Beyond Nash Solutions for Differential Graphical Games. / Lopez, Victor G.; Lewis, Frank L.; Liu, Mushuang et al.
in: IEEE Transactions on Automatic Control, Jahrgang 68, Nr. 9, 20.12.2022, S. 5791-5797.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Lopez VG, Lewis FL, Liu M, Wan Y. Beyond Nash Solutions for Differential Graphical Games. IEEE Transactions on Automatic Control. 2022 Dez 20;68(9):5791-5797. doi: 10.1109/TAC.2022.3230734
Lopez, Victor G. ; Lewis, Frank L. ; Liu, Mushuang et al. / Beyond Nash Solutions for Differential Graphical Games. in: IEEE Transactions on Automatic Control. 2022 ; Jahrgang 68, Nr. 9. S. 5791-5797.
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