Abstract
The best approximation in the optimal solution set of the Hankel-norm model reduction problem is studied in this paper since the optimal solutions are not unique for linear multi-input-multi-output systems (matrix-value transfer functions). This kind of model reduction problems will be defined properly and intuitively. The sub-layers of the optimal model errors will be characterized by the appropriate Schmidt pairs. The optimal solution set will also be parametrized in the suitable domain in order to keep the reduced model with the constant order after the optimatizations. The results from this proposed approach show that they are better than those from the other optimal approximate models in sense of the Hankel operator singular values.
| Original language | English |
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| Title of host publication | Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control |
| Pages | 767-772 |
| Number of pages | 6 |
| Publication status | Published - 2004 Jun 28 |
| Event | Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan Duration: 2004 Mar 21 → 2004 Mar 23 |
Publication series
| Name | Conference Proceeding - IEEE International Conference on Networking, Sensing and Control |
|---|---|
| Volume | 2 |
Other
| Other | Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 04-03-21 → 04-03-23 |
All Science Journal Classification (ASJC) codes
- Engineering(all)
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Cite this
Young, J-S., & Wei, L. F. (2004). Super-optimal model reduction in sense of Hankel-norm. In Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control (pp. 767-772). (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 2).