| Discrete-Time Stochastic Control and Dynamic Potential Games: The Euler-Equation Approach 2013 Edition Contributor(s): Gonzalez-Sanchez, David (Author), Hernandez-Lerma, Onesimo (Author) |
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ISBN: 3319010581 ISBN-13: 9783319010588 Publisher: Springer OUR PRICE: $47.49 Product Type: Paperback Published: October 2013 |
| Additional Information |
| BISAC Categories: - Science | System Theory - Mathematics | Probability & Statistics - General - Technology & Engineering | Automation |
| Dewey: 510 |
| Series: Springerbriefs in Mathematics |
| Physical Information: 0.3" H x 5.9" W x 9.1" (0.30 lbs) 69 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |