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pro vyhledávání: '"Sebastian F Walter"'
Publikováno v:
Journal of Mathematics in Industry, Vol 7, Iss 1, Pp 1-25 (2017)
Abstract We present a novel derivative-based parameter identification method to improve the precision at the tool center point of an industrial manipulator. The tool center point is directly considered in the optimization as part of the problem formu
Externí odkaz:
https://doaj.org/article/bccccd6e9a5f4180810ebe5ea29cc1d5
Autor:
Sebastian F. Walter, Klemens Marx, Stefan Körkel, Andreas Sommer, Dominik Seliger, Hans Georg Bock, Tilman Barz
Publikováno v:
Control Engineering Practice. 72:151-166
A nonlinear state observer is designed for a thermal energy storage with solid/liquid phase change material (PCM). Using a physical 2D dynamic model, the observer reconstructs transient spatial temperature fields inside the storage and estimates the
Publikováno v:
Computers & Chemical Engineering. 94:104-116
The adaptive input design (also called online redesign of experiments) for parameter estimation is very effective for the compensation of uncertainties in nonlinear processes. Moreover, it enables substantial savings in experimental effort and greate
Publikováno v:
IFAC-PapersOnLine. 49:889-894
In this work, a method for reducing the number of degrees of freedom in online optimal dynamic experiment design problems for systems described by differential equations is proposed. The online problems are posed such that only the inputs which exten
Publikováno v:
Journal of Process Control. 24:1504-1515
We propose a method for an efficient optimization of experimental designs, using a combination of discrete adjoint computations, Taylor arithmetic and matrix calculus. Compared to the state of the art of using finite differences or the forward mode o
Autor:
Sebastian F. Walter, Lutz Lehmann
Publikováno v:
Journal of Computational Science. 4:334-344
Many programs for scientific computing in Python are based on NumPy and therefore make heavy use of numerical linear algebra (NLA) functions, vectorized operations, slicing and broadcasting. AlgoPy provides the means to compute derivatives of arbitra
Publikováno v:
Optimization Methods and Software. 27:391-403
We address the task of higher-order derivative evaluation of computer programs that contain QR decompositions of tall matrices with full column rank. The approach is a combination of univariate Taylor polynomial arithmetic and matrix calculus in the
Autor:
Sebastian F. Walter
Publikováno v:
Modeling, Simulation and Optimization of Complex Processes ISBN: 9783642257063
HPSC
HPSC
Two different hierarchical levels of algorithmic differentiation are compared: the traditional approach and a higher-level approach where matrix operations are considered to be atomic. More explicitly: It is discussed how computer programs that consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7738021b06983144c8509a822141e932
https://doi.org/10.1007/978-3-642-25707-0_26
https://doi.org/10.1007/978-3-642-25707-0_26
Autor:
Nilsson, Magnus, Johannesson, Lars
Publikováno v:
2014 IEEE Vehicle Power & Propulsion Conference (VPPC); 2014, p1-6, 6p
This proceedings volume contains a selection of papers presented at the Fourth International Conference on High Performance Scientific Computing held at the Hanoi Institute of Mathematics, Vietnamese Academy of Science and Technology (VAST), March 2