By Topic

Feasible Parameter Set for Bilinear Systems from Records with Bounded Output Errors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Cerone, V. ; Dipartimento di Automatica e Informatica, Politecnico di Torino, Duca degli Abruzzi 24, 10129 Torino, Italy - email: cerone@itopoli.bitnet

Parameter bounding is a well-founded alternative to classical parameter estimation methods when either statistical hypotheses on the errors are not met or uncertainties are no longer random variables but deterministic ones (e.g. systematic, round-off, truncation errors). So far, many efforts have been devoted to the problem of parameter bounding in linear systems, where exact parameter uncertainty intervals can be computed. Instead, only partial results have been found for nonlinear parametrization, namely, either upper or lower bounds on parameters uncertainties can be evaluated. In this paper, parameter bounds for bilinear systems with bounded output errors are derived, based on a linear input-output model and previous results of the author. Two approaches are outlined: the bounded errors-in-variables and the bounded equation error, which lead, respectively, to exact parameter uncertainty intervals and approximated ones.

Published in:

American Control Conference, 1991

Date of Conference:

26-28 June 1991