A dual method for parameter identification under deterministic uncertainty

Author

Dontchev, A.L. ; Polis, M.P. ; Veliov, V.M.

Author_Institution

Mathematical Reviews, Ann Arbor, MI, USA

Volume

45

Issue

7

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1341

Lastpage

1346

Abstract

Proposes a numerical method for reduction of a priori bounds on the values of uncertain plant parameters. The method successively eliminates parts of the parameter domain which are inconsistent with the plant measurement. The size of the eliminated parts is determined by a measure of inconsistency evaluated with the help of the support functions of the set of feasible states and of the set of possible measurements. We specify our approach on an identification problem for a linear control system with bounds on the magnitude and/or on the energy for the disturbances in the dynamics and in the measurement

Keywords

linear systems; matrix algebra; parameter estimation; set theory; uncertain systems; a priori bounds; deterministic uncertainty; dual method; feasible states; linear control system; parameter identification; possible measurements; uncertain plant parameters; Computer science; Control systems; Energy measurement; Informatics; Mathematics; Parameter estimation; Robust control; Size measurement; Space technology; Uncertainty;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.867044

Filename

867044