Brief paperModel quality evaluation in set membership identification☆
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Cited by (38)
Certified system identification: Towards distribution-free results
2012, IFAC Proceedings Volumes (IFAC-PapersOnline)Identification and validation of quasispecies models for biological systems
2009, Systems and Control LettersCitation Excerpt :Recently, some validation methodology have been applied with success to biological systems, [26], where the predictive capability of the model has been used to validate the model. Along the lines of [9,27], we first validate the a priori assumptions on the system, and then, if the actual data explain the system, we check the quality of the identified model. This quality evaluation is performed on the basis of the prediction error.
On input design in ℓ <inf>∞</inf> conditional set membership identification
2006, AutomaticaCitation Excerpt :Conditional set membership identification (Garulli, Vicino, & Zappa, 2000b; Giarré, Kacewicz, & Milanese, 1997; Kacewicz, 1999; Kacewicz, Milanese, & Vicino, 1988) is a line of research that falls into the broader area of robust identification.
Guaranteed non-asymptotic confidence regions in system identification
2005, AutomaticaCitation Excerpt :However, few rigorous finite sample results exists for bootstrap methods. Similarly to set membership identification, e.g. Milanese and Vicino (1991), Bai, Tempo, and Cho (1995), Bai,Nagpal,and Tempo (1996), Vicino and Zappa (1996), Giarre’, Kacewicz, and Milanese (1997), Giarre’, Milanese, and Taragna (1997), Garulli, Vicino, and Zappa (2000) and Garulli, Giarre’, and Zappa (2002), LSCR returns regions for the true system parameter. However, unlike the typical setting in set membership identification, LSCR does not assume that the disturbances are deterministic or bounded.
Global non-asymptotic confidence sets for general linear models
2005, IFAC Proceedings Volumes (IFAC-PapersOnline)Error bounds for fir models in conditional set-membership identification
2005, IFAC Proceedings Volumes (IFAC-PapersOnline)
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This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor Brett Ninness under the direction of Editor Torsten Söderström.