Time-domain validation for sample-data uncertainty models

Sundeep Rangan, Kameshwar Poolla

Research output: Contribution to journalArticlepeer-review


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
Issue number7
StatePublished - 1996

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Time-domain validation for sample-data uncertainty models'. Together they form a unique fingerprint.

Cite this