Título Distributed Negotiation with a Class of Quadratic Cost Functions
Autores ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, CARBONELL MÁRQUEZ, JUAN FRANCISCO, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, CARBONELL MÁRQUEZ, JUAN FRANCISCO
Publicación externa No
Medio IFAC PAPERSONLINE
Alcance Proceedings Paper
Naturaleza Científica
Cuartil SJR 3
Impacto SJR 0.26000
Ámbito Internacional
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044252716&doi=10.1016%2fj.ifacol.2017.08.2472&partnerID=40&md5=586a93457c029330f4b772bc71d8f57b
Fecha de publicacion 01/01/2017
ISI 000423965200048
Scopus Id 2-s2.0-85044252716
DOI 10.1016/j.ifacol.2017.08.2472
Abstract This paper deals with the conflicting situation in which a set of players (or agents) have local objective functions, but depending on both: local decisions and decisions of other players. In particular, the cost functions are quadratic in the local decision variables, but they are linearly coupled with the decisions of neighbors. The players follow a game-based distributed negotiation pursuing to reach an equilibrium that satisfies them. This work derives the conditions for the existence, uniqueness and stability of Nash equilibriums when the decision variables are not constrained. For the case of constrained decision variables, the paper develops sufficient conditions for the convergence to these equilibriums. These results find application in distributed agent-based estimation, when the amount of information to be transmitted is limited. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Palabras clave Nash games; decision making; optimization problems; distributed control
Miembros de la Universidad Loyola

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