Optimal Stochastic Control of Measure Solutions on Hilbert Space

  • N. U. Ahmed
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 202)


This paper is concerned with optimal control of semilinear stochastic evolution equations on Hilbert space driven by stochastic vector measure. Both continuous and discontinuous (measurable) vector fields are admitted. Due to nonexistence of regular solutions, existence and uniqueness of generalized (or measure valued) solutions are proved. Using these results, existence of optimal feedback controls from the class of bounded Borel measurable maps are proved for several interesting optimization problems.


Stochastic Differential Equations Hilbert Space Measurable Vector Fields Finitely Additive Measure Solutions Optimal Feedback Controls 


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Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • N. U. Ahmed
    • 1
  1. 1.SITE & Department of MathematicsUniversity of OttawaOttawa

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