Sökning: "Elling Jacobsen"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Elling Jacobsen.
1. Uncertain demand prediction for guaranteed automated vehicle fleet performance
Sammanfattning : Mobility-on-demand (MoD) services offer a convenient and efficient transportation option, using technology to replace traditional modes. However, the flexibility of MoD services also presents challenges in controlling the system. One of the major issues is supply-demand imbalance, caused by uneven stochastic travel demand. LÄS MER
2. Interaction Analysis in Multivariable Control Systems : Applications to Bioreactors for Nitrogen Removal
Sammanfattning : Many control systems of practical importance are multivariable. In such systems, each manipulated variable (input signal) may affect several controlled variables (output signals) causing interaction between the input/output loops. LÄS MER
3. On Identification of Biological Systems
Sammanfattning : System identification finds nowadays application in various areas of biological research as a tool of empiric mathematical modeling and model individualization. A fundamental challenge of system identification in biology awaits in the form of response variability. LÄS MER
4. Grey-box Identification of Distributed Parameter Systems
Sammanfattning : This thesis considers the problem of making dynamic models for industrial processes by combining physical modelling with experimental data. The focus is on distributed parameter systems, that is, systems for which the model structure involves partial differential equations (PDE). Distributed parameter systems are important in many applications, e. LÄS MER
5. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER