Abstract
This paper compares three different uncertainty estimation techniques in terms of predicting a priori performance bounds on the closed-loop system. A major benefit of computing the performance bounds is they expedite the controller implementation process, which is a critical component in the acceptance of the control system by the process operators. A key ingredient in computing these bounds is uncertainty estimation. The three methods evaluated are the Coprime Factor Uncertainty Method, Zhu's Asymptotic Method, and Bayard's Frequency-Domain Method. We compare the performance bounds obtained by applying these uncertainty estimation procedures on a paper machine control case study.
| Original language | English (US) |
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| Title of host publication | IEEE Conference on Control Applications - Proceedings |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | IEEE |
| Pages | 594-599 |
| Number of pages | 6 |
| Volume | 1 |
| State | Published - 1999 |
| Event | Proceedings of the 1999 IEEE International Conference on Control Applications (CCA) and IEEE International Symposium on Computer Aided Control System Design (CACSD) - Kohala Coast, HI, USA Duration: Aug 22 1999 → Aug 27 1999 |
Other
| Other | Proceedings of the 1999 IEEE International Conference on Control Applications (CCA) and IEEE International Symposium on Computer Aided Control System Design (CACSD) |
|---|---|
| City | Kohala Coast, HI, USA |
| Period | 8/22/99 → 8/27/99 |
ASJC Scopus subject areas
- Control and Systems Engineering