• DocumentCode
    592423
  • Title

    A max-plus method for optimal control of a diffusion equation

  • Author

    Dower, Peter M. ; McEneaney, William M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    618
  • Lastpage
    623
  • Abstract
    Recent work concerning the fundamental solution semigroup for a class of infinite dimensional Riccati equations is extended to include a diffusion term. By exploiting max-plus linearity and semiconvexity of the value function of the associated optimal control problem in this new case, the fundamental solution semigroup is constructed in a dual space via the Legendre-Fenchel transform. In particular, it is shown that the semigroup property in the dual space follows from a corresponding property arising from dynamic programming in the primal space. This fundamental solution semigroup is shown to take the form of a max-plus integral operator with an explicit quadratic functional kernel defined with respect to three time-indexed integral operators. Using this fundamental solution semigroup, a recipe for the evolution of general solutions of the infinite dimensional Riccati equation is proposed.
  • Keywords
    Riccati equations; convex programming; diffusion; dynamic programming; multidimensional systems; optimal control; transforms; Legendre-Fenchel transform; diffusion equation; diffusion term; dynamic programming; fundamental solution semigroup; infinite dimensional Riccati equations; max-plus integral operator; max-plus method; optimal control; primal space; quadratic functional kernel; semigroup property; three time-indexed integral operators; value function max-plus linearity; value function semiconvexity; Aerospace electronics; Integral equations; Kernel; Optimal control; Positron emission tomography; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426595
  • Filename
    6426595