Parameter independent model order reduction

Authors:
Lihong Feng
Affiliations:
ASIC & System State Key Laboratory, Microelectronics Department, Fudan University, HanDan Road 220, Shanghai 200433, China and IMTEK-Institute for Microsystem Technology, University of Freiburg, D ...
Venue:
Mathematics and Computers in Simulation
Year:
2005

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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.