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 language | English (US) |
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Title of host publication | Proceedings of the American Control Conference |
Pages | 1140-1144 |
Number of pages | 5 |
Volume | 2 |
State | Published - 1995 |
Event | Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995 |
Other
Other | Proceedings of the 1995 American Control Conference. Part 1 (of 6) |
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City | Seattle, WA, USA |
Period | 6/21/95 → 6/23/95 |
ASJC Scopus subject areas
- Control and Systems Engineering