Title :
Model quality evaluation in identification for H∞ control
Author :
Canale, Massimo ; Malan, Stefano A. ; Milanese, Mario
Author_Institution :
Dipt. di Autom. e Inf., Politecnico di Torino, Italy
fDate :
1/1/1998 12:00:00 AM
Abstract :
A mixed parametric-nonparametric approach to H∞ identification is proposed, aimed at estimating a low-order approximating 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 performance value is then used for selecting the most “suitable” order of the parametric model class
Keywords :
H∞ control; closed loop systems; control system synthesis; parameter estimation; robust control; uncertain systems; H∞ control; H∞ identification; identification error; low-order approximating model; mixed parametric-nonparametric identification; model perturbation; model quality evaluation; parametric model class; performance value; Automatic control; Costs; Design methodology; Error correction; Optimal control; Output feedback; Parametric statistics; Performance analysis; Robust control; Robust stability;
Journal_Title :
Automatic Control, IEEE Transactions on
