Print Email Facebook Twitter Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation Title Nonlinear Model Order Reduction using POD/DEIM for Optimal Control of Burgers' Equation Author Baumann, M.M. Contributor Van Gijzen, M.B. (mentor) Rojas, M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Numerical Analysis Programme Erasmus Mundus COSSE Date 2013-07-15 Abstract The model-order reduction techniques Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM) have been applied for the optimal control of Burgers' equation. Accuracy and performance of the reduced models have been studied in detail for different values of the viscosity parameter and different sizes of the discretization. Therefore, the three different optimization algorithms Newton-type, BFGS and SPG have been taken into account. Subject model-order reductionnonlinear dynamical systemsBurgers' equationproper orthogonal decompositiondiscrete empirical interpolation methodoptimal control To reference this document use: http://resolver.tudelft.nl/uuid:242e3440-535a-4143-8036-5af5495d60bd Embargo date 2013-07-15 Part of collection Student theses Document type master thesis Rights (c) 2013 Baumann, M.M. Files PDF MSc_ManuelBaumann.pdf 7.35 MB Close viewer /islandora/object/uuid:242e3440-535a-4143-8036-5af5495d60bd/datastream/OBJ/view