Plant and controller reduction problems for closed-loop performance

Daniel Rivera, Manfred Morari

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

4 Scopus citations

Abstract

Model-reduction problems which consider preserving closed-loop performance (H 2, H , and μm) in the presence of reduction error are developed. These are formulated as weighted multiplicative error problems (for plant reduction) and weighted additive error problems (for controller reduction), with the weight function incorporating explicitly such control information as the desired sensitivity operator bound, the setpoint/disturbance spectrum, and the process uncertainties. These problems are efficiently solved using the frequency-weighted balanced realization technique. The benefits of these reduction problems are illustrated with examples taken from the control of a binary distillation column.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherPubl by IEEE
Pages1143-1148
Number of pages6
StatePublished - 1988
Externally publishedYes
EventProceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA
Duration: Dec 7 1988Dec 9 1988

Other

OtherProceedings of the 27th IEEE Conference on Decision and Control
CityAustin, TX, USA
Period12/7/8812/9/88

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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