Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10523713 | Mathematics and Computers in Simulation | 2005 | 14 Pages |
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
Lihong Feng,