Search for dissertations about: "Thomas Gustafsson"
Showing result 21 - 25 of 41 swedish dissertations containing the words Thomas Gustafsson.
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21. Selection of Decentralized Control Configuration for Uncertain Systems
Abstract : Industrial processes nowadays involve hundreds or more of variables to be maintained within predefined ranges to achieve the production demands. However, the lack of accurate models and practical tools to design controllers for such large processes motivate the engineers/practitioners to break the processes down into smaller subsystems and applying decentralized controllers. READ MORE
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22. Probabilistic modeling for positioning applications using inertial sensors
Abstract : In this thesis, we consider the problem of estimating position and orientation (6D pose) using inertial sensors (accelerometers and gyroscopes). Inertial sensors provide information about the change in position and orientation at high sampling rates. READ MORE
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23. Probabilistic modeling for sensor fusion with inertial measurements
Abstract : In recent years, inertial sensors have undergone major developments. The quality of their measurements has improved while their cost has decreased, leading to an increase in availability. READ MORE
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24. Particle filters and Markov chains for learning of dynamical systems
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
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25. Rao-Blackwellised particle methods for inference and identification
Abstract : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. READ MORE