Title :
Model quality evaluation in identification for control
Author :
Canale, Massimo ; Malan, Stefano A. ; Milanese, Mario
Author_Institution :
Dipartimento di Autom. e Inf., Politecnico di Torino, Italy
Abstract :
A mixed parametric-nonparametric approach to H∞ identification is proposed, aimed to estimate a model and an identification error giving a measure of the model perturbation in a form well suited for H∞ control methodologies. It is shown how to estimate the modeling errors of the identified parametric model and how to evaluate the performance values that can be guaranteed when the H∞ controller is designed and applied to the real system. This quantity is then used for selecting the most “suitable” order of the parametric model class
Keywords :
H∞ control; discrete time systems; feedback; identification; robust control; H∞ control; discrete time systems; feedback; identification; linear time invariant system; model perturbation; model quality evaluation; modelling error; parametric model; Costs; Finite impulse response filter; Measurement errors; Parameter estimation; Performance evaluation; Stability; Transfer functions; Upper bound;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532078
