• DocumentCode
    850221
  • Title

    Reduced gradient computation in prediction error identification

  • Author

    Hill, Stacy D.

  • Author_Institution
    Johns Hopkins University, Laurel, MD, USA
  • Volume
    30
  • Issue
    8
  • fYear
    1985
  • fDate
    8/1/1985 12:00:00 AM
  • Firstpage
    776
  • Lastpage
    778
  • Abstract
    One way to design practical identification algorithms using the prediction error method is to find a computationally efficient expression for the gradient of the prediction error cost function. Here, results on adjoint equations are used to derive an efficient gradient expression which reduces the computational burden of evaluating it.
  • Keywords
    Gradient methods; Parameter estimation, linear systems; Prediction methods; System identification, linear systems; Equations; Filtering; Filters; Noise measurement; Noise reduction; Optimal control; State estimation; Steady-state; Time varying systems; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1985.1104062
  • Filename
    1104062