论文信息 - Model order reduction using response-matching technique

Model order reduction using response-matching technique

A method for model order reduction is proposed using response-matching technique. The step and impulse inputs have been considered. All types of pole configurations in the original high-order and reduced low-order system are included in this paper like real, complex and repeated. The proposed method is comparable in quality with similar existing methods and is capable of generating a reduced-order model with a desired pole pattern.

R. C. Mittal | S. Mukherjee | Satakshi | S. Mukherjee

[1] D. Roy Mahapatra,et al. An iterative system equivalent reduction expansion process for extraction of high frequency response from reduced order finite element model , 2003 .

[2] Y. Shamash. Stable reduced-order models using Padé-type approximations , 1974 .

[3] Gian Antonio Mian,et al. On model reduction by L2-optimal pole retention , 1990 .

[4] K. Han,et al. Reduction of Transfer Functions by the Stability-Equation Method , 1979 .

[5] C. Hwang,et al. A new two-step iterative method for optimal reduction of linear SISO systems , 1996 .

[6] Naresh K. Sinha,et al. Reduced Order Models for Complex Systems—A Critical Survey , 1990 .

[7] K. Han,et al. Model reduction using the stability-equation method and the continued-fraction method , 1980 .

[8] C. Hwang,et al. Model reduction of SISO systems by Routh expansion and balancing method , 1994 .

[9] S. Mukherjee,et al. Order reduction of linear systems using an error minimization technique , 1987 .

[10] Rein Luus,et al. Model reduction by minimization of integral square error performance indices , 1990 .