Title :
An Extension of Duality and Hierarchical Decomposition to a Game-Theoretic Framework
Author_Institution :
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada. pavel@control.toronto.edu
Abstract :
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A coupled constrained Nash game is considered. Solving directly such a coupled Nash game requires coordination among possibly all players. An alternative approach is proposed based on the equivalence to a special constrained optimization problem for an NG-game cost function. By exploiting specific separability properties of the NG-game cost, this duality approach leads to a natural hierarchical decomposition into a lower-level uncoupled Nash game and a higher-level system optimization problem.
Keywords :
Constraint optimization; Control systems; Cost function; Game theory; Lagrangian functions; Large-scale systems; Optical control; Power system modeling; Pricing; Wireless networks;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583007