Time-domain validation for sample-data uncertainty models

Sundeep Rangan, Kameshwar Poolla

Research output: Contribution to journalArticle

Abstract

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)
Pages (from-to)980-991
Number of pages12
JournalIEEE Transactions on Automatic Control
Volume41
Issue number7
DOIs
StatePublished - 1996

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Convex optimization
Uncertainty
Interpolation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Time-domain validation for sample-data uncertainty models. / Rangan, Sundeep; Poolla, Kameshwar.

In: IEEE Transactions on Automatic Control, Vol. 41, No. 7, 1996, p. 980-991.

Research output: Contribution to journalArticle

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