Experimental validation of robust control models for a heat experiment: a linear matrix inequality approach

Geir Dullerud, Roy Smith

Research output: Contribution to journalConference articlepeer-review

Abstract

Recent theoretical developments in time domain, sampled-data, model validation are applied to a radiant heat experiment. The time domain model validation problem applied here considers a continuous time robust control model, including unknown perturbations and signals, using a discrete datum of finite length. The sampled-data time domain model validation problem can be formulated as a linear matrix inequality problem. A computationally tractable algorithm, employing data decimation, is presented in the paper. The application to the experiment illustrates that useful engineering information can be obtained.

Original languageEnglish (US)
Pages (from-to)3486-3491
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA
Duration: Dec 13 1995Dec 15 1995

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Experimental validation of robust control models for a heat experiment: a linear matrix inequality approach'. Together they form a unique fingerprint.

Cite this