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Discrete-Time Stochastic Control and Dynamic Potential Games The Euler-Equation Approach /

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 her...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: González-Sánchez, David (Autor), Hernández-Lerma, Onésimo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Mathematics,
Temas:
Acceso en línea:Texto Completo

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245 1 0 |a Discrete-Time Stochastic Control and Dynamic Potential Games  |h [electronic resource] :  |b The Euler-Equation Approach /  |c by David González-Sánchez, Onésimo Hernández-Lerma. 
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505 0 |a Introduction and summary.- Direct problem: the Euler equation approach.- The inverse optimal control problem.- Dynamic games -- Conclusion -- References -- Index. 
520 |a 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. 
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650 0 |a Control theory. 
650 0 |a Probabilities. 
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650 2 4 |a Control and Systems Theory. 
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