Sökning: "stochastic modeling"
Visar resultat 21 - 25 av 181 avhandlingar innehållade orden stochastic modeling.
21. Numerical Methods for Stochastic Modeling of Genes and Proteins
Sammanfattning : Stochastic models of biochemical reaction networks are used for understanding the properties of molecular regulatory circuits in living cells. The state of the cell is defined by the number of copies of each molecular species in the model. LÄS MER
22. On optimal hydropower bidding in systems with wind power : Modeling the impact of wind power on power markets
Sammanfattning : The introduction of large amounts of wind power into power systems will increase the production uncertainties due to unforeseen wind power production variations. This will have a significant impact on the required balance management quantities. LÄS MER
23. Topics in the mean-field type approach to pedestrian crowd modeling and conventions
Sammanfattning : This thesis consists of five appended papers, primarily addressingtopics in pedestrian crowd modeling and the formation of conventions.The first paper generalizes a pedestrian crowd model for competingsubcrowds to include nonlocal interactions and an arbitrary (butfinite) number of subcrowds. LÄS MER
24. Estimation and Control of Resonant Systems with Stochastic Disturbances
Sammanfattning : The presence of vibration is an important problem in many engineering applications. Various passive techniques have traditionally been used in order to reduce waves and vibrations, and their harmful effects. Passive techniques are, however, difficult to apply in the low frequency region. LÄS MER
25. Water and Carbon Balance Modeling: Methods of Uncertainty Analysis
Sammanfattning : How do additional data of the same and/or different type contribute to reducing model parameter and predictive uncertainties? This was the question addressed with two models – the HBV hydrological water balance model and the ICBM soil carbon balance model – that were used to investigate the usefulness of the Generalized Likelihood Uncertainty Estimation (GLUE) method for calibrations and uncertainty analyses. The GLUE method is based on threshold screening of Monte Carlo simulations using so-called informal likelihood measures and subjective acceptance criterion. LÄS MER