• DocumentCode
    800825
  • Title

    Performance-adaptive renewal policies for linear systems

  • Author

    Ratner, Robert S. ; Luenberger, David G.

  • Author_Institution
    Stanford Research Institute, Menlo Park, CA, USA
  • Volume
    14
  • Issue
    4
  • fYear
    1969
  • fDate
    8/1/1969 12:00:00 AM
  • Firstpage
    344
  • Lastpage
    351
  • Abstract
    The design of systems with a component subject to failure may include a discrete renewal capability to counter the degradation in performance caused by improper operation of the failed component. A solution is presented to the problem of determining the optimal use of available renewal capability for first-order time-varying linear systems with a quadratic performance index, using an exponential model of component failure. The solution is extended quasi optimally to linear systems of arbitrary order. The renewal policy determined is performance-adaptive in the sense that it depends on the failure and renewal histories of the system and on their relation to future operating requirements. The renewal policy is determined with respect to other control variables to insure overall optimal performance. A discrete stage variable is introduced to specify the system operating condition. The optimal control and renewal policy within each stage is specified by a pair of Riccati equations whose solutions are precomputed. The method avoids quantization of continuous-valued state variables, thereby lessening the effects of the curse of dimensionality.
  • Keywords
    Linear systems, time-varying continuous-time; Renewal policies; Control systems; Counting circuits; Degradation; History; Linear systems; Optimal control; Performance analysis; Quantization; Riccati equations; Time varying systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1969.1099227
  • Filename
    1099227