Search for dissertations about: "Sequential Monte Carlo method"

Showing result 16 - 20 of 24 swedish dissertations containing the words Sequential Monte Carlo method.

  1. 16. Simulation Based Methods for Target Tracking

    Author : Rickard Karlsson; Linköpings universitet; []
    Keywords : TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : In this thesis we study a Bayesian estimation formulation of the target tracking problem. Traditionally, linear or linearized models are used, where the uncertainty in the sensor and motion models is typically modeled by Gaussian densities. Hence, classical sub-optimal Bayesian methods based on linearized Kalman filters can be used. READ MORE

  2. 17. Risk Management in Tunneling Projects : Estimation and Planning

    Author : Mohammad Mohammadi; Johan Spross; Fredrik Johansson; Stefan Larsson; Anna Kadefors; Amund Bruland; KTH; []
    Keywords : Cost overrun; Transport infrastructure projects; Time and cost estimation; Probabilistic approaches; Tunneling; Soil and Rock Mechanics; Jord- och bergmekanik;

    Abstract : Cost overruns and schedule delays are frequently observed occurrences in the construction of transport infrastructure projects. Such phenomena lead to the mismanagement of significant amounts of both public and private resources. READ MORE

  3. 18. Doping and Density of States Engineering for Organic Thermoelectrics

    Author : Guangzheng Zuo; Martijn Kemerink; Ergang Wang; Mariano Campoy-Quiles; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Thermoelectric materials can turn temperature differences directly into electricity. To use this to harvest e.g. waste heat with an efficiency that approaches the Carnot efficiency requires a figure of merit ZT larger than 1. READ MORE

  4. 19. Simulation-based Optimization and Decision Making with Imperfect Information

    Author : Farzad Kamrani; Rassul Ayani; Stephen John Turner; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Simulation-based Optimization; UAV Path Planning; Business Process Optimization;

    Abstract : The purpose of this work is to provide simulation-based support for making optimal (or near-optimal) decisions in situations where decision makers are faced with imperfect information. We develop several novel techniques and algorithms for simulation-based optimization and decision support and apply them to two categories of problems: (i) Unmanned Aerial Vehicle (UAV) path planning in search operations, and; (ii) optimization of business process models. READ MORE

  5. 20. Stochastic model updating and model selection with application to structural dynamics

    Author : Majid Khorsand Vakilzadeh; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Finite element model; Bayesian model selection; Bayesian model updating; stochastic simulation; Bootstrapping; Subspace system identification; Uncertainty quantification;

    Abstract : Uncertainty induced by our incomplete state of knowledge about engineering systems and their surrounding environment give rise to challenging problems in the process of building predictive models for the system behavior. One such challenge is the model selection problem, which arises due to the existence of invariably multiple candidate models with different mathematical forms to represent the system behavior, and so there is a need to assess their plausibility based on experimental data. READ MORE