Abstract
The problem of approximating a high-order system with constant real parameter uncertainty by a reduced-order model is considered. A parameter-dependent quadratic bounding function is developed that bounds the effect of uncertain real parameters on the model-reduction error. An Auxiliary Minimization Problem is formulated that minimizes an upper bound for the model-reduction error. The principal result is a necessary condition for solving the Auxiliary Minimization Problem which effectively provides sufficient conditions for characterizing robust reduced-order models.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the American Control Conference |
| Pages | 4010-4014 |
| Number of pages | 5 |
| Volume | 6 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995 |
Other
| Other | Proceedings of the 1995 American Control Conference. Part 1 (of 6) |
|---|---|
| City | Seattle, WA, USA |
| Period | 6/21/95 → 6/23/95 |
ASJC Scopus subject areas
- Control and Systems Engineering