Sökning: "Torsten Söderström"
Visar resultat 1 - 5 av 19 avhandlingar innehållade orden Torsten Söderström.
1. Harmonic signal modeling based on the Wiener model structure
Sammanfattning : The estimation of frequencies and corresponding harmonic overtones is a problem of great importance in many situations. Applications can, for example, be found in supervision of electrical power transmission lines, in seismology and in acoustics. LÄS MER
2. Nonlinear Approaches to Periodic Signal Modeling
Sammanfattning : Periodic signal modeling plays an important role in different fields. The unifying theme of this thesis is using nonlinear techniques to model periodic signals. The suggested techniques utilize the user pre-knowledge about the signal waveform. This gives these techniques an advantage as compared to others that do not consider such priors. LÄS MER
3. Model Reduction and Parameter Estimation for Diffusion Systems
Sammanfattning : Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower density. Many physical systems, in fields as diverse as plant biology and finance, are known to involve diffusion phenomena. Typically, diffusion systems are modeled by partial differential equations (PDEs), which include certain parameters. LÄS MER
4. Model reduction for diffusion systems
Sammanfattning : Diffusion phenomena has been studied with a lot of interest, for a long time, due to its historical and practical significance. In the recent days it has thrown a lot of interest among control engineers, as more and more practical systems, varying from stock markets to environmental pollution, have been observed to involve diffusion. LÄS MER
5. On Application Oriented Experiment Design for Closed-loop System Identification
Sammanfattning : System identification concerns how to construct mathematical models of dynamic systems based on experimental data. A very important application of system identification is in model-based control design. In such applications it is often possible to externally excite the system during the data collection experiment. LÄS MER
