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    ICINCO
    2007
    64views Robotics» more  ICINCO 2007»
    A state estimator for nonlinear stochastic systems based on dirac mixture approximations
    13 years 6 months ago
    A state estimator for nonlinear stochastic systems based on dirac mixture approximations
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    Oliver C. Schrempf, Uwe D. Hanebeck
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    CDC
    2009
    IEEE
    189views Control Systems» more  CDC 2009»
    Dirac mixture approximation of multivariate Gaussian densities
    13 years 10 months ago
    Dirac mixture approximation of multivariate Gaussian densities
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    — For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
    Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
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    AAAI
    2006
    165views Intelligent Agents» more  AAAI 2006»
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    13 years 6 months ago
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    Download  www.aaai.org
    The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
    David Wingate, Satinder P. Singh
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    ICML
    2006
    IEEE
    180views Machine Learning» more  ICML 2006»
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    14 years 6 months ago
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    Download  www.eecs.umich.edu
    The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
    David Wingate, Satinder P. Singh
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    ICASSP
    2008
    IEEE
    115views Signal Processing» more  ICASSP 2008»
    On nonlinear transformations of stochastic variables and its application to nonlinear filtering
    13 years 11 months ago
    On nonlinear transformations of stochastic variables and its application to nonlinear filtering
    Download  www.control.isy.liu.se
    A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
    Fredrik Gustafsson, Gustaf Hendeby
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