Search for dissertations about: "State-space filter"

Showing result 21 - 25 of 34 swedish dissertations containing the words State-space filter.

  2. 21. Learning control for flex-fuel CI engine and fuel cell

    Author : Xiufei Li; Förbränningsmotorer; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Flex-fuel CI Engine; Fuel Cell; Model Predictive Control; Learning Control; Adaptive Control; Gas System Model; Ignition Delay Model; Data-based Modeling; Gaussian process;

    Abstract : This thesis investigated the modeling and control problems in the context of the flex-fuel compression-ignition (CI) engine and fuel cell, which shows great potential in the transition from fossil fuel to renewable energy sources.The modeling parts included the flex-fuel engine combustion process and intake system, and the system scale fuel cell model. READ MORE

  4. 22. Efficient Structure and Motion: Path Planning, Uncertainty and Sparsity

    Author : Sebastian Haner; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This thesis explores methods for solving the structure-and-motion problem in computer vision, the recovery of three-dimensional data from a series of two-dimensional image projections. The first paper investigates an alternative state space parametrization for use with the Kalman filter approach to simultaneous localization and mapping, and shows it has superior convergence properties compared with the state-of-the-art. READ MORE

  5. 23. On inference in partially observed Markov models using sequential Monte Carlo methods

    Author : Jonas Ströjby; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This thesis concerns estimation in partially observed continuous and discrete time Markov models and focus on both inference about the conditional distribution of the unobserved process as well as parameter inference for the dynamics of the unobserved process. Paper A concerns calibration of advanced stock price models, in particular the Bates and NIG-CIR models, using options data observed through bid-ask spreads. READ MORE

  6. 24. Seasonal Adjustment and Dynamic Linear Models

    Author : Can Tongur; Daniel Thorburn; Sune Karlsson; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Dynamic linear models; DLM; direct and indirect seasonal adjustment; relative efficiency; Huber loss function; Polls of polls; Wiener process; Swedish elections; Statistics; statistik;

    Abstract : Dynamic Linear Models are a state space model framework based on the Kalman filter. We use this framework to do seasonal adjustments of empirical and artificial data. A simple model and an extended model based on Gibbs sampling are used and the results are compared with the results of a standard seasonal adjustment method. READ MORE

  7. 25. Non-Linear System Identification with Neural Networks

    Author : Jonas Sjöberg; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : This thesis addresses the non-linear system identification problem, and in particular, investigates the use of neural networks in system identification. An overview of different possible mode! structures is given in a common framework. READ MORE