Sökning: "Elektroteknik med inriktning mot reglerteknik"
Visar resultat 26 - 30 av 39 avhandlingar innehållade orden Elektroteknik med inriktning mot reglerteknik.
26. Nonparametric identification of viscoelastic materials
Sammanfattning : Viscoelastic materials can today be found in a wide range of practical applications. In order to make efficient use of these materials in construction, it is of importance to know how they behave when subjected to dynamic load. LÄS MER
27. Parallelization of stochastic estimation algorithms on multicore computational platforms
Sammanfattning : The main part of this licentiate thesis concerns parallelization of recursive estimation methods, both linear and nonlinear. Recursive estimation deals with the problem of extracting information about parameters or states of a dynamical system, given noisy measurements of the system output and plays a central role in many applications of signal processing, system identification, and automatic control. LÄS MER
28. Fault detection in water resource recovery facilities
Sammanfattning : Reliable sensor values are important for resource-efficient control and operations of wastewater treatment processes. Automatic fault detection methods are necessary to monitor the increasing amount of data produced in any modern water resource recovery facility (WRRF). LÄS MER
29. Nonlinear Modeling and Feedback Control of Drug Delivery in Anesthesia
Sammanfattning : General anesthesia is a drug-induced reversible state where neuromuscular blockade (NMB), hypnosis, and analgesia (jointly denoted by depth of anesthesia - DoA) are guaranteed. This thesis concerns mathematical modeling and feedback control of the effect of the muscle relaxants atracurium and rocuronium, the hypnotic propofol, and the analgesic remifentanil. LÄS MER
30. Learning probabilistic models of dynamical phenomena using particle filters
Sammanfattning : Dynamical behavior can be seen in many real-life phenomena, typically as a dependence over time. This thesis studies and develops methods and probabilistic models for statistical learning of such dynamical phenomena.A probabilistic model is a mathematical model expressed using probability theory. LÄS MER