Loop-shaping controller design from input-output data

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

1 Scopus citations

Abstract

An integrated identification and controller design approach, based on loop-shaping principles, is presented. Starting with time-domain input-output data, a coprime factorization of the plant is identified using linear least-squares techniques. The residual error from the identification is then used to obtain estimates of the coprime factor uncertainty that are translated to sensitivity and complementary sensitivity bounds for the closed-loop system. These bounds serve as a guide for the selection of a target loop and the controller is designed using H tools. An application on a paper machine simulator is also presented, illustrating the main ideas of the approach.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages1511-1516
Number of pages6
Volume2
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999

Other

OtherThe 38th IEEE Conference on Decision and Control (CDC)
CityPhoenix, AZ, USA
Period12/7/9912/10/99

ASJC Scopus subject areas

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

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  • Cite this

    Tsakalis, K., & Dash, S. (1999). Loop-shaping controller design from input-output data. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2, pp. 1511-1516). IEEE.