@article{Falugi:2005:10.1016/j.automatica.2004.12.010,
author = {Falugi, P and Giarre, L and Zappa, G},
doi = {10.1016/j.automatica.2004.12.010},
journal = {Automatica},
pages = {1017--1024},
title = {Approximation of the feasible parameter set in worst-case identification of Hammerstein models},
url = {http://dx.doi.org/10.1016/j.automatica.2004.12.010},
volume = {41},
year = {2005}
}

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TY  - JOUR
AB  - The estimation of the Feasible Parameter Set (FPS) for Hammerstein models in a worst-case setting is considered. A bounding procedure is determined both for polytopic and ellipsoidic uncertainties. It consists in the projection of the FPS of the extended parameter vector onto suitable subspaces and in the solution of convex optimization problems which provide Uncertainties Intervals of the model parameters. The bounds obtained are tighter than in the previous approaches.
AU  - Falugi,P
AU  - Giarre,L
AU  - Zappa,G
DO  - 10.1016/j.automatica.2004.12.010
EP  - 1024
PY  - 2005///
SN  - 1873-2836
SP  - 1017
TI  - Approximation of the feasible parameter set in worst-case identification of Hammerstein models
T2  - Automatica
UR  - http://dx.doi.org/10.1016/j.automatica.2004.12.010
VL  - 41
ER  - 

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