Loop-shaping controller design from input-output data

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

1 Scopus citations


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
Number of pages6
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999


OtherThe 38th IEEE Conference on Decision and Control (CDC)
CityPhoenix, AZ, USA

ASJC Scopus subject areas

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


Dive into the research topics of 'Loop-shaping controller design from input-output data'. Together they form a unique fingerprint.

Cite this