This article addresses the parametric identification of block-structured nonlinear systems in a general form, characterized by the feedback interconnection of a multivariable linear system and a static multivariate nonlinear map. We assume that both the input and the output collected data are affected by bounded noise, which casts the problem in the context of set-membership (SM) errors-in-variables identification. We introduce a single-stage SM identification algorithm for the computation of the parameter uncertainty intervals. The proposed solution exploits the formulation of a suitable optimization problem solved through convex relaxation techniques. Numerical simulations and an experimental test show the effectiveness of the proposed approach.
A unified framework for the identification of a general class of multivariable nonlinear block-structured systems / Cerone, V.; Razza, V.; Regruto, D.. - In: INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL. - ISSN 1049-8923. - ELETTRONICO. - 31:15(2021), pp. 7344-7360. [10.1002/rnc.5697]
|Titolo:||A unified framework for the identification of a general class of multivariable nonlinear block-structured systems|
|Data di pubblicazione:||2021|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1002/rnc.5697|
|Appare nelle tipologie:||1.1 Articolo in rivista|