Parameter independent model order reduction
Several recently developed model order reduction methods for fast simulation of large-scale dynamical systems with two or more parameters are reviewed. Besides, an alternative approach for linear parameter system model reduction as well as a more efficient method for nonlinear parameter system model reduction are proposed in this paper. Comparison between different methods from theoretical elegancy to complexity of implementation are given. By these methods, a large dimensional system with parameters can be reduced to a smaller dimensional parameter system that can approximate the original large sized system to a certain degree for all the parameters.
Year of publication: |
2005
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Authors: | Feng, Lihong |
Published in: |
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 68.2005, 3, p. 221-234
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Publisher: |
Elsevier |
Subject: | Model order reduction | Parameter system | Projection technique | Krylov subspace | Arnoldi Process |
Saved in:
Online Resource
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