Time-domain validation for sample-data uncertainty models

Sundeep Rangan, Kameshwar Poolla

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


We consider time-domain model validation for sampled-data systems with H compatible uncertainty models. These uncertainty models consist of a nominal continuous-time plant model together with given bounds for system uncertainty and signal disturbances. The validation problem is to determine whether or not a given discrete sampled input-output data record is consistent with a postulated uncertainty model. Based on continuous-time interpolation theorems, we provide validation algorithms for unstructured, additive uncertainty models that reduce to convex programming. We treat both linear time-invariant and linear time-varying modeling uncertainty sets.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Number of pages5
StatePublished - 1995
EventProceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
Duration: Jun 21 1995Jun 23 1995


OtherProceedings of the 1995 American Control Conference. Part 1 (of 6)
CitySeattle, WA, USA

ASJC Scopus subject areas

  • Control and Systems Engineering


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