Abstract
The method of model reduction by least-squares moment matching is generalised to include Markov parameters in the process. This is seen to enhance the flexibility of the method with very little extra computational requirement. An example illustrates the generalisation and the results are discussed.
Original language | English |
---|---|
Pages (from-to) | 1383-1384 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 27 |
Issue number | 15 |
DOIs | |
Publication status | Published - 18 Jul 1991 |
Keywords
- Generalised least-squares method
- Model reduction
- Least-squares moment matching
- Markov parameters