An Anticipative Feedback Solution for the Infinite-Horizon, Linear-Quadratic, Dynamic, Stackelberg Game (Paperback)

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This paper derives and illustrates a new suboptimal-consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game. This solution lies in the same solution space as the infinite-horizon, dynamic-programming, feedback solution but puts the leader in a preferred equilibrium position. The idea comes from Kydland (1977) who suggested deriving a consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game by varying the coefficients in the player's linear constant-coefficient decision rules. Here feedback is understood in the sense of setting a current control vector as a function of a predetermined state vector. The proposed solution is derived for discrete- and continuous-time games and is called the anticipative feedback solution. The solution is illustrated with a numerical example of a duopoly model.

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Product Description

This paper derives and illustrates a new suboptimal-consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game. This solution lies in the same solution space as the infinite-horizon, dynamic-programming, feedback solution but puts the leader in a preferred equilibrium position. The idea comes from Kydland (1977) who suggested deriving a consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game by varying the coefficients in the player's linear constant-coefficient decision rules. Here feedback is understood in the sense of setting a current control vector as a function of a predetermined state vector. The proposed solution is derived for discrete- and continuous-time games and is called the anticipative feedback solution. The solution is illustrated with a numerical example of a duopoly model.

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Product Details

General

Imprint

Bibliogov

Country of origin

United States

Release date

September 2012

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

September 2012

Authors

,

Dimensions

246 x 189 x 2mm (L x W x T)

Format

Paperback - Trade

Pages

34

ISBN-13

978-1-249-38383-3

Barcode

9781249383833

Categories

LSN

1-249-38383-8



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