Search for dissertations about: "model order reduction"
Showing result 16 - 20 of 530 swedish dissertations containing the words model order reduction.
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16. Rank Reduction with Convex Constraints
Abstract : This thesis addresses problems which require low-rank solutions under convex constraints. In particular, the focus lies on model reduction of positive systems, as well as finite dimensional optimization problems that are convex, apart from a low-rank constraint. READ MORE
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17. Vibration transmission in lightweight buildings : Numerical prediction models
Abstract : Ljud från grannar är ett återkommande problem för boende i flerfamiljshus. Problemen är generellt mer omfattande för de som bor i flervåningshus byggda i trä, en byggnadstyp som blir allt vanligare i Sverige. Många av de boende i trähus upplever även att störande vibrationer är vanligt förekommande i trähus. READ MORE
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18. On Error-Controlled Numerical Model Reduction for Linear Transient FE² Analysis
Abstract : Multiscale modeling is of high interest in the engineering community due to its ability to capture the overall response, while still accounting for processes and structures on underlying fine scales. One standard approach to multiscale modeling is the so-called FE² procedure, where the classic constitutive relation is replaced by a boundary value problem on a Representative Volume Element (RVE) comprising the underlying microscale features. READ MORE
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19. Numerical Model Reduction and Error Control for Computational Homogenization of Transient Problems
Abstract : Multiscale modeling is a class of methods useful for numerical simulation of mechanics, in particular, when the microstructure of a material is of importance. The main advantage is the ability to capture the overall response, and, at the same time, account for processes and structures on the underlying fine scales. READ MORE
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20. Linear Time-Varying Systems: Modeling and Reduction
Abstract : Linear time-invariant models are widely used in the control community. They often serve as approximations of nonlinear systems. For control purposes linear approximations are often good enough since feedback control systems are inherently robust to model errors. In this thesis some of the possibilities for linear time-varying modeling are studied. READ MORE