Abstract
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 language | English (US) |
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Pages (from-to) | 2549-2553 |
Number of pages | 5 |
Journal | Proceedings of the American Control Conference |
Volume | 4 |
State | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering