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Showing 1 to 12 of 12 for “"Extended Kalman Filtering"”.

  1. Cooperative Decentralized Intersection Collision Avoidance Using Extended Kalman Filtering

    … models. Second, a set of constrained, coupled Extended Kalman Filters (EKF) are used to predict the trajectory of the vehicles approaching an intersection in real-time. The coupled filters support decentralized operation and ensure that the optimization algorithm bases its decisions on good, …

    vt Repository record for Cooperative Decentralized Intersection Collision Avoidance Using Extended Kalman Filtering (opens in a new tab)

  2. Application of the extended Kalman filtering technique to ship maneuvering analysis

    Thesis. 1975. M.S.--Massachusetts Institute of Technology. Dept. of Ocean Engineering.

    mit Repository record for Application of the extended Kalman filtering technique to ship maneuvering analysis (opens in a new tab)

  3. Extended Kalman filtering applied to a full accelerometer strapdown inertial measurement unit

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.

    mit Repository record for Extended Kalman filtering applied to a full accelerometer strapdown inertial measurement unit (opens in a new tab)

  4. Adaptive Extended Kalman Filtering Strategies for Autonomous Relative Navigation of Formation Flying Spacecraft

    … thesis presents the development of two adaptive extended Kalman filter navigation algorithms for spacecraft formation flying. The proposed adaptive filters are capable of updating the internal noise characteristics of the Kalman filter in real time, and are viable in all orbit scenarios, …

    carleton Repository record for Adaptive Extended Kalman Filtering Strategies for Autonomous Relative Navigation of Formation Flying Spacecraft (opens in a new tab)

  5. 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)

  6. NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure

    … Advanced techniques are explored, such as extended Kalman filtering, to identify the challenges associated with analysis of multi-cell battery modules. Energy-recycling hardware is developed that is capable of efficiently cycling energy to and from cells connected in a series configuration. …

    waikato-masters Repository record for NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure (opens in a new tab)

  7. The Feasibility and Application of Observing Small LEO Satellites with Amateur Telescopes

    … model, angles-only orbit determination including extended Kalman filtering, and temporal error growth in TLE-based orbit propagation. Further investigations include a preliminary optimization using MATLAB's fmincon function (informed by the previous analyses) to determine an optimal telescope size …

    calpoly Repository record for The Feasibility and Application of Observing Small LEO Satellites with Amateur Telescopes (opens in a new tab)

  8. Analytical SLAM without linearization

    … the algorithm uses a linear time-varying (LTV) Kalman observer, bypassing errors and approximations brought by the linearization process in traditional extended Kalman filtering (EKF) SLAM. Convergence rates of the algorithm are established using contraction analysis. Different combinations of …

    mit Repository record for Analytical SLAM without linearization (opens in a new tab)

  9. PREDICTION AND CLOSED-LOOP CONTROL OF BLOOD PRESSURE FOR HEMORRHAGE RESUSCITATION

    … itself to different subjects using extended Kalman filtering (EKF), to account for high inter-subject variability, before accurately forecasting future blood pressure. The second method is an observer-based feedback controller which regulates blood pressure from a hypotensive state …

    maryland Repository record for PREDICTION AND CLOSED-LOOP CONTROL OF BLOOD PRESSURE FOR HEMORRHAGE RESUSCITATION (opens in a new tab)

  10. Parameter estimation for single-phase induction motor from transient measurements

    … parameter. This is achieved using recursive extended Kalman filtering (EKF) after augmenting the motor state vector with a constant capacitance state. EKF recursively linearizes the augmented system and estimates the full augmented state vector. The last two proposed algorithms only need to …

    uiuc Repository record for Parameter estimation for single-phase induction motor from transient measurements (opens in a new tab)

  11. Optimization and State Estimation of Li Ion Cells Using Single Particle Model

    … generate synthetic data. Afterwards, nonlinear Filtering approaches including Extended Kalman Filtering (EKF) and Unscented Kalman Filtering (UKF) were applied to predict the true SOC and the electrodes¡¯ degradation, by minimizing the measurement residuals between the model prediction and the …

    south-carolina Repository record for Optimization and State Estimation of Li Ion Cells Using Single Particle Model (opens in a new tab)

  12. Autonomous Vehicle Pose Estimation in GNSS-Denied Areas Using Cross-Track Error Measurements

    … position and orientation in real-time using an extended Kalman filter (EKF) framework. By integrating CTE into an existing pose estimation architecture, the new system is able to provide vehicle state estimates with a greater accuracy than conventional inertial navigation systems (INS). …

    vt Repository record for Autonomous Vehicle Pose Estimation in GNSS-Denied Areas Using Cross-Track Error Measurements (opens in a new tab)