Vector measures of accuracy for sampled data models of nonlinear systems

Title: Vector measures of accuracy for sampled data models of nonlinear systems
Creator: Carrasco, Diego S.; Goodwin, Graham C.; Yuz, Juan I.
Relation: IEEE Transactions on Automatic Control Vol. 58, Issue 1, p. 224-230
Publisher Link: http://dx.doi.org/10.1109/TAC.2012.2203061
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2013
Description: In this technical note, we introduce several novel vector measures of accuracy for sampled-data nonlinear models. The new definitions of truncation error assign a unique error bound to each component of the state vector. We argue that this new definition of truncation error is well suited to control and system identification problems where certain combinations of states, e.g., the system output, are of particular interest. We apply the new measures of accuracy to a recently developed model described in and establish several associated properties which were previously unrecognized.
Subject: nonlinear systems; numerical analysis; sampled data control
Identifier: http://hdl.handle.net/1959.13/1298024
Identifier: uon:19556
Identifier: ISSN:0018-9286
Language: eng
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