• DocumentCode
    115435
  • Title

    Sensitivity relations for the Mayer problem of optimal control

  • Author

    Cannarsa, Piermarco ; Frankowska, Helene ; Scarinci, Teresa

  • Author_Institution
    Dipt. di Mat., Univ. di Roma `Tor Vergata´, Rome, Italy
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4298
  • Lastpage
    4303
  • Abstract
    Sensitivity relations in optimal control refer to the interpretation of the gradients of the value function in terms of the costate arc and the Hamiltonian evaluated along an extremal. In general, the value function is not differentiable and for this reason its gradients have to be replaced by generalized differentials. In this paper we prove such sensitivity relations for the Mayer optimal control problem with dynamics described by a differential inclusion. If the associated Hamiltonian is semiconvex with respect to the state variable, then we show that sensitivity relations hold true for any dual arc associated to an optimal solution, instead of more traditional statements about the existence of a dual arc satisfying such relations. Furthermore, several applications are provided.
  • Keywords
    gradient methods; optimal control; sensitivity analysis; Mayer optimal control problem; costate arc; differential inclusion; gradient interpretation; optimal control; semiconvex; sensitivity relations; value function; Conferences; Context; Dynamic programming; Optimal control; Sensitivity; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040059
  • Filename
    7040059