Article ID Journal Published Year Pages File Type
10523713 Mathematics and Computers in Simulation 2005 14 Pages PDF
Abstract
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.
Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
Authors
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