• DocumentCode
    807046
  • Title

    The role and use of the stochastic linear-quadratic-Gaussian problem in control system design

  • Author

    Athans, Michael

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, MA, USA
  • Volume
    16
  • Issue
    6
  • fYear
    1971
  • fDate
    12/1/1971 12:00:00 AM
  • Firstpage
    529
  • Lastpage
    552
  • Abstract
    The role of the linear-quadratic stochastic control problem in engineering design is reviewed in tutorial fashion. The design approach is motivated by considering the control of a non-linear uncertain plant about a desired input-output response. It is demonstrated how a design philosophy based on 1) deterministic perturbation control, 2) stochastic state estimation, and 3) linearized stochastic control leads to an overall closed-loop control system. The emphasis of the paper is on the philosophy of the design process, the modeling issue, and the formulation of the problem; the results are given for the sake of completeness, but no proofs are included. The systematic off-line nature of the design process is stressed throughout.
  • Keywords
    Linear systems, stochastic continuous-time; Nonlinear systems, stochastic continuous-time; Optimal stochastic control; Stochastic optimal control; Uncertain systems; Actuators; Control systems; Control theory; Design engineering; Helium; Power engineering and energy; Process design; State estimation; Stochastic systems; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1971.1099818
  • Filename
    1099818