Search for dissertations about: "particle filtering"

Showing result 1 - 5 of 43 swedish dissertations containing the words particle filtering.

  2. 1. Performance and Implementation Aspects of Nonlinear Filtering

    Author : Gustaf Hendeby; Fredrik Gustafsson; Petar Djurić; Linköpings universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; particle filtering; nonlinear filtering; fault detection; Cramer-Rao lower bound; Kullback divergence; intrinsic accuracy; Automatic control; Reglerteknik;

    Abstract : I många fall är det viktigt att kunna få ut så mycket och så bra information som möjligt ur tillgängliga mätningar. Att utvinna information om till exempel position och hastighet hos ett flygplan kallas för filtrering. I det här fallet är positionen och hastigheten exempel på tillstånd hos flygplanet, som i sin tur är ett system. READ MORE

  4. 2. Particle Filtering and Optimal Control for Vehicles and Robots

    Author : Karl Berntorp; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; particle filtering; optimal control; automotive systems; out-of-sequence measurement; autonomy; model predictive control; sensor fusion; wheel slip; dynamic optimization;

    Abstract : This thesis covers areas within estimation and optimal control of vehicles, in particular four-wheeled vehicles. One topic is how to handle delayed and out-of-sequence measurements (OOSMs) in tracking systems. READ MORE

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

    Author : Fredrik Lindsten; Thomas B. Schön; Lennart Ljung; Fredrik Gustafsson; Arnaud Doucet; Linköpings universitet; []
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 4. Particle transport in human lung : effects of particle size and shape

    Author : Sofie Högberg; Luleå tekniska universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Strömningslära; Fluid Mechanics;

    Abstract : Recent studies have shown that nanoparticles may be more toxic than larger particles of the same material, but the health risks associated with widespread use largely depend on the extent of exposure. When dealing with potentially toxic particles, precautionary measures have to be taken in order to minimize contact. READ MORE

  7. 5. Image Filtering Methods for Biomedical Applications

    Author : M. Khalid Khan Niazi; Ewert Bengtsson; Ingela Nyström; Lucas J. van Vliet; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital image analysis; Image filtering; Intensity inhomogeneity correction; Empirical mode decomposition; Particle Swarm optimization; Image registration; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. READ MORE