Search for dissertations about: "Tomas McKelvey"
Showing result 1 - 5 of 6 swedish dissertations containing the words Tomas McKelvey.
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1. Identification of State-Space Models from Time and Frequency Data
Abstract : This dissertation considers the identication of linear multivariable systems using finite dimensional time-invariant state-space models.Parametrization of multivariable state-space models is considered. A full parametrization, where all elements in the state-space matrices are parameters, is introduced. READ MORE
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2. On State-Space Models in System Identification
Abstract : This thesis considers identification of multivariable discrete time linear systems by using time-invariant state-space models of finite dimension. A new model structure is introduced that is fully parametrized, i. e. all matrices are filled with parameters. READ MORE
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3. On Structured System Identification and Nonparametric Frequency Response Estimation
Abstract : To keep up with the ever increasing demand on performance and efficiency of control systems, accurate models are needed. System identification is concerned with the estimation and validation of mathematical models of dynamical systems from experimental data. READ MORE
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4. Observer Design and Model Augmentation for Bias Compensation with Engine Applications
Abstract : Control and diagnosis of complex systems demand accurate knowledge of certain quantities to be able to control the system efficiently and also to detect small errors. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE
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5. Frequency Tracking for Speed Estimation
Abstract : Estimating the frequency of a periodic signal, or tracking the time-varying frequency of an almost periodic signal, is an important problem that is well studied in literature. This thesis focuses on two subproblems where contributions can be made to the existing theory: frequency tracking methods and measurements containing outliers. READ MORE