Abstract
Model validation provides a useful means of assessing the ability of a model to account for a specific experimental observation, and has application to modeling, identification and fault detection. In this paper we consider a new approach to the linear fractional transformation (LFT) model validation problem by deploying quadratic functionals, and more generally nonlinear functionals, to specify noise and dynamical perturbation sets. Sufficient conditions for invalidation of such models are provided in terms of semidefinite programming problems.
| Original language | English (US) |
|---|---|
| Title of host publication | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Editors | Gabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente |
| Publisher | IFAC Secretariat |
| Pages | 151-156 |
| Number of pages | 6 |
| Edition | 1 |
| ISBN (Print) | 9783902661746 |
| DOIs | |
| State | Published - 2002 |
| Externally published | Yes |
| Event | 15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain Duration: Jul 21 2002 → Jul 26 2002 |
Publication series
| Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
|---|---|
| Number | 1 |
| Volume | 15 |
| ISSN (Print) | 1474-6670 |
Other
| Other | 15th World Congress of the International Federation of Automatic Control, 2002 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 7/21/02 → 7/26/02 |
Bibliographical note
Publisher Copyright:Copyright © 2002 IFAC.
Keywords
- Model validation
- Nonlinear functionals
- Semidefinite programming
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