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Set-membership identifiability of nonlinear models and related parameter estimation properties Cover

Set-membership identifiability of nonlinear models and related parameter estimation properties

Open Access
|Dec 2016

Abstract

Identifiability guarantees that the mathematical model of a dynamic system is well defined in the sense that it maps unambiguously its parameters to the output trajectories. This paper casts identifiability in a set-membership (SM) framework and relates recently introduced properties, namely, SM-identifiability, μ-SM-identifiability, and ε-SM-identifiability, to the properties of parameter estimation problems. Soundness and ε-consistency are proposed to characterize these problems and the solution returned by the algorithm used to solve them. This paper also contributes by carefully motivating and comparing SM-identifiability, μ-SM-identifiability and ε-SM-identifiability with related properties found in the literature, and by providing a method based on differential algebra to check these properties.

DOI: https://doi.org/10.1515/amcs-2016-0057 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 803 - 813
Submitted on: Mar 10, 2016
Accepted on: Aug 28, 2016
Published on: Dec 30, 2016
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Carine Jauberthie, Louise Travé-MassuyèEs, Nathalie Verdière, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.