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Showing 1 to 5 of 5 for “"Nonlinear least squares (NLS)"”.

  1. Underwater vehicle localization using range measurements

    Papadopoulos, GeōrgiosMassachusetts Institute of Technology2010

    … Using the weak observability theorem for nonlinear systems, we demonstrate that this cooperative localization problem is best attacked using nonlinear least squares (NLS) optimization. We investigate the convergence of NLS applied to the cooperative ASV/AUV localization problem. Though we …

    mit Repository record

  2. Human-autonomy teaming for improved diver navigation

    Pelletier, Jesse R.Massachusetts Institute of Technology and Woods Hole Oceanographic Institution2022

    … Units (REMUS) 100 AUV. During processing, a nonlinear least-squares (NLS) method, called incremental smoothing and mapping 2 (iSAM2), utilizes odometry and range measurements to provide real-time diver position estimates given unknown ocean currents. Field experiments demonstrate an average …

    woods-hole Repository record

  3. Human-Autonomy Teaming for Improved Diver Navigation

    Pelletier, JesseMassachusetts Institute of Technology2022

    … Units (REMUS) 100 AUV. During processing, a nonlinear least-squares (NLS) method, called incremental smoothing and mapping 2 (iSAM2), utilizes odometry and range measurements to provide real-time diver position estimates given unknown ocean currents. Field experiments demonstrate an average …

    mit Repository record

  4. Angles-only navigation technique for maneuver-free spacecraft proximity operations

    Yates, Max William, MajorMassachusetts Institute of Technology2017

    … environment, the orbital dynamics are inherently nonlinear and natural orbit perturbations have the effect of continuous micro-maneuvers. These advantageous conditions present an opportunity to overcome the ambiguity problem and enable spacecraft to navigate passively with a lightweight, low-power …

    mit Repository record

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

    Huynh, Phuc ThanhUniversity of Illinois at Urbana-Champaign2017

    … are further tuned based on a non-linear least squares (NLS) formulation that minimizes the mismatch between modeled and measured outputs during the start-up transients. The NLS problem is solved using the workhorse algorithm for this application, namely the Levenberg-Marquardt (L-M) …

    uiuc Repository record