@inproceedings{a1e08232bdc34f7aaa123b6b0b573d28,
title = "Nonlinear functional characterizations of uncertainty in model validation",
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.",
keywords = "Model validation, Nonlinear functionals, Semidefinite programming",
author = "Roy Smith and Geir Dullerud",
note = "1 This work is supported by NSF under authors{\textquoteright} grants ECS– 9978562 and ECS–9875244 CAREER, respectively; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",
year = "2002",
doi = "10.3182/20020721-6-es-1901.00436",
language = "English (US)",
isbn = "9783902661746",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "151--156",
editor = "Gabriel Ferrate and Camacho, \{Eduardo F.\} and Luis Basanez and \{de la Puente\}, \{Juan. A.\}",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
edition = "1",
}