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Author González-Sánchez, David, author.

Title Discrete time stochastic control and dynamic potential games : the Euler-equation approach / David González-Sánchez, Onésimo Hernández-Lerma
Published New York : Springer, 2013

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Description 1 online resource (xiv, 69 pages)
Series SpringerBriefs in Mathematics, 2191-8198
SpringerBriefs in mathematics, 2191-8198
Contents Introduction and summary-- Direct problem: the Euler equation approach -- The inverse optimal control problem -- Dynamic games -- Conclusions and suggestions for future research
Summary There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well suited to solve inverse problems. Despite the importance of dynamic potential games, there is no systematic study about them. This monograph is the first attempt to provide a systematic, self contained presentation of stochastic dynamic potential games
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed September 24, 2013)
Subject Stochastic control theory.
Noncooperative games (Mathematics)
MATHEMATICS -- Calculus.
MATHEMATICS -- Mathematical Analysis.
Control estocástico, Teoría de
Noncooperative games (Mathematics)
Stochastic control theory
Form Electronic book
Author Hernández-Lerma, O. (Onésimo), author
ISBN 9783319010595
331901059X
3319010581
9783319010588