Sökning: "Input parameter models"
Visar resultat 1 - 5 av 124 avhandlingar innehållade orden Input parameter models.
1. Simplifying complex models : Application of modeling tools in exposure assessment of organic pollutants
Sammanfattning : Thousands of chemicals are used in society, but the exposure to humans and other organisms has been measured only for a small number of compounds. Modeling tools constitute low-cost and effective alternatives to measurements for the assessment of exposure. LÄS MER
2. Estimation and optimal input design in sparse models
Sammanfattning : Sparse parameter estimation is an important aspect of system identification, as it allows for reducing the order of a model, and also some models in system identification inherently exhibit sparsity in their parameters. The accuracy of the estimated sparse model depends directly on the performance of the sparse estimation methods. LÄS MER
3. Computation of Parameters in some Mathematical Models
Sammanfattning : In computational science it is common to describe dynamic systems by mathematical models in forms of differential or integral equations. These models may contain parameters that have to be computed for the model to be complete. LÄS MER
4. Handling Combinatorial Explosion in Software Testing
Sammanfattning : In this thesis, the overall conclusion is that combination strategies, (i.e., test case selection methods that manage the combinatorial explosion of possible things to test), can improve the software testing in most organizations. The research underlying this thesis emphasizes relevance by working in close relationship with industry. LÄS MER
5. Parameter and State Estimation with Information-rich Signals
Sammanfattning : The complexity of industrial systems and the mathematical models to describe them increases. In many cases, point sensors are no longer sufficient to provide controllers and monitoring instruments with the information necessary for operation. The need for other types of information, such as audio and video, has grown. LÄS MER