Sökning: "Particle filter"

Visar resultat 1 - 5 av 121 avhandlingar innehållade orden Particle filter.

  1. 1. Eulerian-Lagrangian modeling of particle motion in exhaust gas aftertreatment systems

    Författare :Henrik Ström; Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; urea-SCR; particle trapping; flow-through filter; urea decomposition; diesel particulate matter; particle motion; particle filter; AdBlue-spray; Eulerian-Lagrangian modeling;

    Sammanfattning : In the work to design and optimize new aftertreatment system devices for NOx reduction and particulate matter removal in lean engine exhaust (such as diesel exhaust), it is of great help to be able to perform quick, robust and reliable computer simulations of system performance. A suitable platform for such simulations is Computational Fluid Dynamics (CFD) software. LÄS MER

  2. 2. Particle concentrations : analysis methods for urban runoff

    Författare :Kerstin Nordqvist; Luleå tekniska universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; VA-teknik; Urban Water Engineering;

    Sammanfattning : Urban runoff often contains high concentrations of particles. Pollutants that adsorbs to surfaces of particulate material will be transported to receiving waters or a sewage treatment plant. For the recipient, the particles in the runoff are a significant cause of water quality impairment. LÄS MER

  3. 3. Estimation of Nonlinear Dynamic Systems : Theory and Applications

    Författare :Thomas B. Schön; Fredrik Gustafsson; Simon Godsill; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Nonlinear estimation; system identification; Kalman filter; particle filter; marginalized particle filter; expectation maximization; automotive applications; Automatic control; Reglerteknik;

    Sammanfattning : This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems. Sequential Monte Carlo methods are mainly used to this end. These methods rely on models of the underlying system, motivating some developments of the model concept. LÄS MER

  4. 4. Techniques for Efficient Implementation of FIR and Particle Filtering

    Författare :Syed Asad Alam; Oscar Gustafsson; Kent Palmkvist; Yajun Yu; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; FIR filter; Particle filter; architecture; ASIC; FPGA;

    Sammanfattning : FIR filters occupy a central place many signal processing applications which either alter the shape, frequency or the sampling frequency of the signal. FIR filters are used because of their stability and possibility to have linear-phase but require a high filter order to achieve the same magnitude specifications as compared to IIR filters. LÄS MER

  5. 5. Particle filters and Markov chains for learning of dynamical systems

    Författare :Fredrik Lindsten; Thomas B. Schön; Lennart Ljung; Fredrik Gustafsson; Arnaud Doucet; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Bayesian learning; System identification; Sequential Monte Carlo; Markov chain Monte Carlo; Particle MCMC; Particle filters; Particle smoothers;

    Sammanfattning : Sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods provide computational tools for systematic inference and learning in complex dynamical systems, such as nonlinear and non-Gaussian state-space models. This thesis builds upon several methodological advances within these classes of Monte Carlo methods. LÄS MER