Aalborg Universitet Discussion : “ Model reduction of large - scale discrete plants with specified frequency - domain balanced structure

Universitet Discussion : “ Model reduction of large - scale discrete plants with specified frequency - domain balanced structure

This work presents a commentary of the article published by A. Zadegan and A. Zilouchian (ASME J. Dyn. Sys. Meas. Contr. ,Volume 127,Issue 3, pp. 486-498, 2005). We show their order reduction method is not always true and may leads to inaccurate results and is therefore erroneous. A framework for solving the problem is also suggested .

Discussion : “ Model reduction of large - scale discrete plants with specified frequency - domain balanced structure ”

This work presents a commentary of the article published by A. Zadegan and A. Zilouchian (ASME J. Dyn. Sys. Meas. Contr. ,Volume 127,Issue 3, pp. 486-498, 2005). We show their order reduction method is not always true and may leads to inaccurate results and is therefore erroneous. A framework for solving the problem is also suggested .

Model reduction of large-scale systems using perturbed frequency domain balanced structure

The technique described in this paper uses singular perturbation and balanced structure to reduce the order of a large-scale plant model over a finite frequency range of operations pre-specified by the designer. This method reduces error rate in model reduction of real equipment that has to operate within a finite frequency range. The outcome of reducing the model within a specified frequency r...

Aalborg Universitet Discussion on the paper " Optimal Magnetic Momentum Control of Inertially Pointing

Frequency-Domain Balanced Stochastic Truncation for Continuous and Discrete Time Systems

A new method for relative error continuous and discrete time model order reduction is proposed. The reduction technique is based on two recently developed methods, namely frequency domain balanced truncation within a frequency bound and inner-outer factorization techniques. The proposed method is of interest for practical model order reduction because in this context it shows to keep the accura...