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Showing 1 to 3 of 3 for “"FIMLOF"”.

  1. Inertial measurement unit calibration using Full Information Maximum Likelihood Optimal Filtering

    … Maximum Likelihood Optimal Filtering (FIMLOF) for inertial measurement unit (IMU) calibration in high-g centrifuge environments is considered. FIMLOF uses an approximate Newton's Method to identify Kalman Filter parameters such as process and measurement noise intensities. Normally, IMU …

    mit Repository record for Inertial measurement unit calibration using Full Information Maximum Likelihood Optimal Filtering (opens in a new tab)

  2. Methods for enhancing system dynamics modelling : state-space models, data-driven structural validation & discrete-event simulation

    … modelling and Kalman filtering, known as FIMLOF. One such modification, is the use of the unscented Kalman filter for nonlinear systems. After successfully estimating parameters in simulation studies, we attempt to calibrate the model for 59 geographical regions. Results demonstrate the …

    lancaster Repository record for Methods for enhancing system dynamics modelling : state-space models, data-driven structural validation & discrete-event simulation (opens in a new tab)

  3. A Dynamic Model of Nuclear Energy Market Share Employing Full Information Maximum Likelihood Parameter estimation and Extended Kalman Filtering

    Made available in DSpace on 2017-07-06T18:42:20Z (GMT). No. of bitstreams: 3 Arthur_William_B_MS.pdf: 73243182 bytes, checksum: ca6a2f2b7245fe7bbb954caa60e6f0b5 (MD5) Arthur_William_B_MS_ABS.pdf: 1097901 bytes, checksum: 74a8e84ddcd0435d126fa4385f60c5ef (MD5) license.txt: 4813 bytes, checksum: …

    uiuc Repository record for A Dynamic Model of Nuclear Energy Market Share Employing Full Information Maximum Likelihood Parameter estimation and Extended Kalman Filtering (opens in a new tab)