Structured singular value test for variable selection and pairing

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

3 Scopus citations

Abstract

A test is developed for the proper selection and pairing of manipulated and controlled variables. The criteria by which a set of variables is deemed adequate for control purposes are (1) robustness to model uncertainty, (2) stability despite decentralized control, and (3) constraints (on manipulated and associated variables) satisfied at steady state. The basis for this test is the structured singular value, which provides a generalized framework for simultaneously addressing the performance and robustness aspects of control systems. This test, which is independent of a specific controller design methodology, is a definitive test; alternatives can be evaluated precisely on whether they satisfy requirements, without requiring the user to specify a scaling or some arbitrary cutoff point for acceptable configurations. The effectiveness of the test is illustrated with a case study involving the control of a heavy oil fractionator, which forms part of the Shell standard control problem.

Original languageEnglish (US)
Title of host publicationProc 1989 Am Control Conf
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages560-565
Number of pages6
StatePublished - 1989
Externally publishedYes
EventProceedings of the 1989 American Control Conference - Pittsburgh, PA, USA
Duration: Jun 21 1989Jun 23 1989

Other

OtherProceedings of the 1989 American Control Conference
CityPittsburgh, PA, USA
Period6/21/896/23/89

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Structured singular value test for variable selection and pairing'. Together they form a unique fingerprint.

  • Cite this

    Rivera, D. (1989). Structured singular value test for variable selection and pairing. In Anon (Ed.), Proc 1989 Am Control Conf (pp. 560-565). Publ by IEEE.