Validation of continuous-time control models by finite experimental data

Roy Smith, Geir Dullerud

Research output: Contribution to journalConference articlepeer-review


This paper develops a theoretical framework, and a computational solution, for the model validation problem in the case where the model, including unknown perturbations and signals, is given in the continuous time, yet the experimental datum is a finite, sampled, signal. The continuous nature of the unknown components is treated directly with a sampled data lifting theory, giving results which are valid for any sample period and any datum length. A common class of robust control models is treated in both open- and closed-loop and yields a convex matrix optimization problem. A simulation example illustrates the approach.

Original languageEnglish (US)
Pages (from-to)2549-2553
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
Duration: Jun 21 1995Jun 23 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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