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Wednesday, May 13, 2020 | History

3 edition of The estimation error covariance matrix for the ideal state reconstructor with measurement noise found in the catalog.

The estimation error covariance matrix for the ideal state reconstructor with measurement noise

Michael E. Polites

The estimation error covariance matrix for the ideal state reconstructor with measurement noise

by Michael E. Polites

  • 10 Want to read
  • 34 Currently reading

Published by National Aeronautics and Space Administration, Scientific and Technical Information Division, For sale by the National Technical Information Service] in [Washington, D.C.], [Springfield, Va .
Written in English

    Subjects:
  • Digital control systems -- Mathematical models.

  • Edition Notes

    StatementMichael E. Polites.
    SeriesNASA technical paper -- 2881.
    ContributionsUnited States. National Aeronautics and Space Administration. Scientific and Technical Information Division.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL14662524M

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The estimation error covariance matrix for the ideal state reconstructor with measurement noise by Michael E. Polites Download PDF EPUB FB2

Available in the National Library of Australia collection. Author: Polites, Michael E; Format: Book, Microform; 1 v. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.

State estimation and fusion is studied using Kalman filter (KF) when a slow-rate integrated measurement is available. Integrated measurement is common in industrial processes, when a. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration.

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It discusses practical spectral analysis, including the use of windows for spectral analysis, sinusoidal signal analysis, and the effect of noise.

Without extra parameters, the proposed method controls the bias-variance-covariance trade-off systematically and usually yields a deep regression ensemble where each base model is both ‘accurate’ and ‘diversified’.

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This data is used to calculate an approximation of the covariance matrix and then a subspace is constructed using principal component analysis (PCA). George C. Marshall Space Flight Center: A piloted simulation study of manual guidance of the upper stages of a large launch vehicle / (Washington, D.C.: National Aeronautics and Space Administration: [For sale by the Clearinghouse for Federal Scientific and Technical Information, Springfield, Virginia ], ), also by Richard L.

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Tomas Svensson, Svante Gunnarsson, "A Design-Build-Test course in electronics based on the CDIO framework for engineering education", International Journal of Electrical Engineering Education, 49 (4):  Genetic variation and co-variation for fitness between intra-population and inter-population backgrounds in the red flour beetle, Tribolium castaneum.

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