Model Order Reduction via Rational Transfer Function Fitting and Eigenmode Analysis

摘要：

In this paper,we have proposed a novel model order reduction technique via rational transfer function fitting and eigenmode analysis considering residues.We define a constant as a key in the sorting algorithm as one of correlations in order to sort the order of eigenvalues.It is demonstrated that the accuracy via eigenmode analysis considering residues is improved.The proposed algorithm is a general method to match pole values with frequency domain poles for linear RC and RLC systems.Calculation of pole eigenvalues and eigen vectors can be done with more sophisticated analysis with the same level or smaller cost in the proposed algorithms in comparison to PRIMA.The experimental results show that our algorithm reduces up to 90％ errors compared to the existing model order reduction algorithm,such as PRIMA,in wide frequency environment with the same number of poles in comparison.

关键词： Model Order Reduction PRIMA Eigen-decomposition

作者: Chunchen Liu Xiaolong Yuan Arjun Mullaguru Jeffrey Fan

作者单位: Department of Electrical and Computer Engineering,University of California,San Diego,USA School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing,China Department of Electrical and Computer Engineering,Florida International University,Miami,Florida,USA

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）