• DocumentCode
    486854
  • Title

    Numerical Solutions to Witsenhausen´s Problem by Successive Approximation

  • Author

    Mori, Shozo ; Chong, Chee-Yee

  • Author_Institution
    Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CA 94040
  • fYear
    1987
  • fDate
    10-12 June 1987
  • Firstpage
    40
  • Lastpage
    40
  • Abstract
    The non-classical nature of multi-person stochastic control problems of team problems was first pointed out by Witsenhausen [1] via a simple example, which has since been known as Witsenhausen´s counterexample. The example is a simple two-person two-step team problem: The first person 1 observes exactly the system´s initial state x0, and based on it, chooses his action x1. Then the second person 2 observes the new state x1 = x0 + x1 corrupted by an independent zero-mean noise v as y = x1 + v and chooses his action x2. The team objective is to minimize the cost J ¿2(x1)2 + (x1 - x2)2, over pairs of admissible (measurable) strategies. This short paper is concerned with one typical case of this problem, restated as in [1]: Problem: Given a pair (¿,¿) of positive real numbers, find a pair (f,g) of measurable functions which minimizes (¿2/¿) ¿ (x - f(x))2¿(x/¿)dx + ¿ (f(x) - g (f(x)+v))2¿(v)dv where ¿(¿)(2¿exp(x2))-1/2. Despite the fact that this very simple-looking problem has stimulated much important literature on control and information (See e.g. [2]), the problem itself has remained unsolved for nearly twenty years. There have been several attempts to solve the problem numerically but generally with little success. Recently, it was pointed out that the difficulty resides in the particular form of the objective function as well as the non-classical information pattern [3].
  • Keywords
    Calculus; Contracts; Control systems; Costs; Gradient methods; Optimal control; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1987
  • Conference_Location
    Minneapolis, MN, USA
  • Type

    conf

  • Filename
    4789298