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On model reduction with consecutively selected rational basis
- Source :
- International Journal of Wavelets, Multiresolution and Information Processing. 14:1650002
- Publication Year :
- 2016
- Publisher :
- World Scientific Pub Co Pte Lt, 2016.
-
Abstract
- In this paper, we study model reduction by using rational orthogonal bases by consecutively selecting poles for the basis functions. An algorithm modified from adaptive Fourier decomposition (AFD) in Hardy space is presented. In this algorithm, the one-by-one selection of poles makes the numerical algorithm easy to implement, which also keeps the steady-state values equal. The approximating results are comparable to other classical methods.
- Subjects :
- Model order reduction
0209 industrial biotechnology
Mathematical optimization
Basis (linear algebra)
Applied Mathematics
Basis function
010103 numerical & computational mathematics
02 engineering and technology
Hardy space
01 natural sciences
Reduction (complexity)
Adaptive fourier decomposition
symbols.namesake
020901 industrial engineering & automation
Signal Processing
symbols
Applied mathematics
0101 mathematics
Selection (genetic algorithm)
Information Systems
Mathematics
Subjects
Details
- ISSN :
- 1793690X and 02196913
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- International Journal of Wavelets, Multiresolution and Information Processing
- Accession number :
- edsair.doi...........225e2032a230f72d1d5ac0c9fc82c5cd
- Full Text :
- https://doi.org/10.1142/s0219691316500028