Sökning: "State-space filter"
Visar resultat 6 - 10 av 34 avhandlingar innehållade orden State-space filter.
6. On particle-based online smoothing and parameter inference in general state-space models
Sammanfattning : This thesis consists of 4 papers, presented in Paper A-D, on particle- based online smoothing and parameter inference in general state-space hidden Markov models.In Paper A a novel algorithm, the particle-based, rapid incremental smoother (PaRIS), aimed at efficiently performing online approxima- tion of smoothed expectations of additive state functionals in general hidden Markov models, is presented. LÄS MER
7. Modeling and Control of Voltage Source Converters Connected to the Grid
Sammanfattning : This thesis deals with the modeling and control of pulse width modulated (PWM) voltage source converters connected to the grid. When voltage source converters are connected to the grid, the power quality and the dynamic performance are affected by the line filter connected between the converter and the grid, and by nonlinearities caused by the switching converter. LÄS MER
8. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks
Sammanfattning : This thesis is based on 5 papers exploring the filtering problem in non-linear non-Gaussian state-space models together with applications of Sequential Monte Carlo (also called particle filtering) methods to the positioning in wireless networks. The aim of the first paper is to study the performance of particle filtering techniques in mobile positioning using signal strength measurements. LÄS MER
9. Estimation of Nonlinear Dynamic Systems : Theory and Applications
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
10. Statistical Fault Detection with Applications to IMU Disturbances
Sammanfattning : This thesis deals with the problem of detecting faults in an environment where the measurements are affected by additive noise. To do this, a residual sensitive to faults is derived and statistical methods are used to distinguish faults from noise. LÄS MER