Search for dissertations about: "Continuous-time Identification"
Showing result 1 - 5 of 23 swedish dissertations containing the words Continuous-time Identification.
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1. Continuous-time System Identification : Refined Instrumental Variables and Sampling Assumptions
Abstract : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. There are two main approaches in this field: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. READ MORE
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2. Identification of viscoelastic materials and continuous-time stochastic systems
Abstract : Two system identification problems, identification of viscoelastic material properties and identification of continuous-time stochastic systems, are considered in the thesis. The viscoelastic material properties are characterised by the frequency-dependent complex modulus. READ MORE
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3. Identification of Stochastic Continuous-time Systems : Algorithms, Irregular Sampling and Cramér-Rao Bounds
Abstract : The problem of identifying continuous-time systems is of fundamental interest in various areas, such as astrophysics, economics, control and signal processing. The most obvious reason for working with continuous-time models is that most physical systems are inherently continuous in time. READ MORE
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4. Frequency Domain Identification of Continuous-Time Systems : Reconstruction and Robustness
Abstract : Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system identification. Identification of continuous-time models on the other hand is motivated by the fact that modelling of physical systems often take place in continuous-time. READ MORE
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5. Consistency and efficiency in continuous-time system identification
Abstract : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. In this field, there are two main approaches: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. READ MORE