Search for dissertations about: "identifiability"
Showing result 6 - 10 of 46 swedish dissertations containing the word identifiability.
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6. Indirect System Identification for Unknown Input Problems : With Applications to Ships
Abstract : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. READ MORE
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7. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning
Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE
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8. Model Calibration of Nonlinear Mechanical Systems Using Multi-Harmonic Frequency Response Functions
Abstract : In industry, linear finite element models are commonly employed to represent global structural behavior. It is crucial that the computational models are able to accurately represent the structures’ behavior. This cannot always be achieved by the use of linear models. READ MORE
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9. Towards Individualized Drug Dosage : General Methods and Case Studies
Abstract : Progress in individualized drug treatment is of increasing importance, promising to avoid much human suffering and reducing medical treatment costs for society. The strategy is to maximize the therapeutic effects and minimize the negative side effects of a drug on individual or group basis. READ MORE
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10. Initialization Methods for System Identification
Abstract : In the system identification community a popular framework for the problem of estimating a parametrized model structure given a sequence of input and output pairs is given by the prediction-error method. This method tries to find the parameters which maximize the prediction capability of the corresponding model via the minimization of some chosen cost function that depends on the prediction error. READ MORE