Comparison of identification-based performance bounds for robust process control

S. Adusumilli, S. Dash, Daniel Rivera, Konstantinos Tsakalis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationIEEE Conference on Control Applications - Proceedings
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages594-599
Number of pages6
Volume1
StatePublished - 1999
EventProceedings 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 1999Aug 27 1999

Other

OtherProceedings of the 1999 IEEE International Conference on Control Applications (CCA) and IEEE International Symposium on Computer Aided Control System Design (CACSD)
CityKohala Coast, HI, USA
Period8/22/998/27/99

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Adusumilli, S., Dash, S., Rivera, D., & Tsakalis, K. (1999). Comparison of identification-based performance bounds for robust process control. In IEEE Conference on Control Applications - Proceedings (Vol. 1, pp. 594-599). IEEE.