• DocumentCode
    799863
  • Title

    Specific optimal estimation

  • Author

    Sims, Craig S. ; Melsa, James L.

  • Author_Institution
    Institute of Technology, Southern Methodist University, Dallas, TX, USA
  • Volume
    14
  • Issue
    2
  • fYear
    1969
  • fDate
    4/1/1969 12:00:00 AM
  • Firstpage
    183
  • Lastpage
    186
  • Abstract
    The goal of the specific optimal estimation problem is to achieve near-optimal (minimum variance) estimation using a structure that is easier to implement than the optimal solution. One chooses a reasonable configuration for the filter in which certain parameters are unspecified and then selects the parameters so that its performance is optimized. The problem is formulated as a two-point boundary-value problem resulting from consideration of the covariance of error of the estimate and application of the matrix-minimum principle. The examples presented indicate that near-optimal results can be obtained using a filter designed in this way.
  • Keywords
    Estimation; Linear systems, time-varying continuous-time; Closed-form solution; Computer aided software engineering; Covariance matrix; Differential equations; Nonlinear filters; Optimal control; Riccati equations; Silicon compounds; State estimation; White noise;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1969.1099135
  • Filename
    1099135