Sökning: "Nonlinear System Identification"
Visar resultat 21 - 25 av 98 avhandlingar innehållade orden Nonlinear System Identification.
21. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions
Sammanfattning : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. LÄS MER
22. 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
23. 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
24. Identification of Nonlinear Marine Systems
Sammanfattning : As marine vessels are becoming increasingly automated, having accurate simulation models available is turning into an absolute necessity. This holds both for the facilitation of development and for achieving satisfactory model-based control. LÄS MER
25. Identification and Estimation for Models Described by Differential-Algebraic Equations
Sammanfattning : Differential-algebraic equations (DAEs) form the natural way in which models of physical systems are delivered from an object-oriented modeling tool like Modelica. Differential-algebraic equations are also known as descriptor systems, singular systems, and implicit systems. LÄS MER