Sökning: "nonlinear Kalman filters"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden nonlinear Kalman filters.

  1. 1. Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Michael Roth; Linköpings universitet.; Linköpings universitet.; [2013]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : This thesis is on filtering in state space models. First, we examine approximate Kalman filters for nonlinear systems, where the optimal Bayesian filtering recursions cannot be solved exactly. These algorithms rely on the computation of certain expected values. LÄS MER

  2. 2. Probabilistic Sequence Models with Speech and Language Applications

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Gustav Eje Henter; KTH.; [2013]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

    Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER

  3. 3. Sequential Monte Carlo Filters and Integrated Navigation

    Detta är en avhandling från Linköping : Linköping University

    Författare :Per-Johan Nordlund; Linköpings universitet.; Linköpings universitet.; [2002]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : In this thesis we consider recursive Bayesian estimation in general, and sequential Monte Carlo filters in particular, applied to integrated navigation. Based on a large number of simulations of the model, the sequential Monte Carlo filter, also referred to as particle filter, provides an empirical estimate of the full posterior probability density of the system. LÄS MER

  4. 4. Advanced Kalman Filtering Approaches to Bayesian State Estimation

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Michael Roth; Linköpings universitet.; Linköpings universitet.; [2017]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Bayesian state estimation is a flexible framework to address relevant problems at the heart of existing and upcoming technologies. Application examples are obstacle tracking for driverless cars and indoor navigation using smartphone sensor data. LÄS MER

  5. 5. Identification and Estimation for Models Described by Differential-Algebraic Equations

    Detta är en avhandling från Institutionen för systemteknik

    Författare :Markus Gerdin; Linköpings universitet.; Linköpings universitet.; [2006]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Differential-Algebraic Equations; Identifiability; Nonlinear systems; Modelling; Identification; Descriptor systems; TECHNOLOGY Information technology Automatic control; TEKNIKVETENSKAP Informationsteknik Reglerteknik;

    Sammanfattning : Differential-algebraic equations (DAEs) form the natural way in which models of physical systems are delivered from an object-oriented modeling tool like Modelica. Differential-algebraic equations are also known as descriptor systems, singular systems, and implicit systems. LÄS MER