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On the saddle-point solution of a class of stochastic differential games

Abstract

This paper deals with the saddle-point solution of a class of stochastic differential games described by linear state dynamics and quadratic objective functionals. The information structure of the problem is such that both players have access to a common noisy linear measurement of the state and they are permitted to utilize only this information in constructing their controls. The saddle-point solution of such differential game problems has been discussed earlier in Ref. 1, but the conclusions arrived there are incorrect, as is explicitly shown in this paper. We extensively discuss the role of information structure on the saddle-point solution of such stochastic games (specifically within the context of an illustrative discrete-time example) and then obtain the saddle-point solution of the problem originally formulated by employing an indirect approach.

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Additional information

This work was done while the author was on sabbatical leave at Twente University of Technology, Department of Applied Mathematics, Enschede, Holland, from Applied Mathematics Division, Marmara Scientific and Industrial Research Institute, Gebze, Kocaeli, Turkey.

Communicated by Y. C. Ho

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Başar, T. On the saddle-point solution of a class of stochastic differential games. J Optim Theory Appl 33, 539–556 (1981). https://doi.org/10.1007/BF00935757

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Key Words

  • Stochastic differential games
  • saddle-point solutions
  • information structures
  • conjugate-point conditions
  • linear-quadratic games