• DocumentCode
    2614138
  • Title

    A maximum principle for risk-sensitive control

  • Author

    Lim, Andrew E B ; Zhou, Xun Yu

  • Author_Institution
    Dept. of Ind. Eng. & Oper. Res., California Univ., Berkeley, CA, USA
  • Volume
    6
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    5819
  • Abstract
    In this paper a new maximum principle for the risk-sensitive control problem is established. One important feature of this result is that it applies to systems in which the diffusion term may depend on the control. Such control dependence gives rise to interesting phenomena not observed in the usual setting where control independence of the diffusion term is assumed. In particular, there is an additional second order adjoint equation and additional terms in the maximum condition that involve this second order process as well as the risk-sensitive parameter. Moreover, contrary to a conventional maximum principle, the first order adjoint equation involved in our maximum principle is a nonlinear equation. An advantage of considering this new type of adjoint equation is that the risk-sensitive maximum principle derived is similar in form to its risk-neutral counterpart. The approach is based on the logarithmic transformation and the relationship between the adjoint variables and the value function. As an example, a linear-quadratic risk-sensitive problem is solved using the maximum principle derived.
  • Keywords
    linear quadratic control; maximum principle; nonlinear equations; risk analysis; sensitivity analysis; linear-quadratic risk-sensitive problem; nonlinear equation; risk-sensitive control; risk-sensitive maximum principle; Control systems; Cost function; Diffusion processes; Electrical equipment industry; Industrial control; Nonlinear equations; Optimal control; Process control; Stochastic processes; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1271933
  • Filename
    1271933