ITERATIVE IDENTIFICATION AND CONTROL USING A WEIGHTED Q-MARKOV COVER WITH MEASUREMENT NOISE

Authors
SKELTON RE SHI G
Citation
Re. Skelton et G. Shi, ITERATIVE IDENTIFICATION AND CONTROL USING A WEIGHTED Q-MARKOV COVER WITH MEASUREMENT NOISE, Signal processing, 52(2), 1996, pp. 217-234
Citations number
22
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Signal processing → ACNP
ISSN journal
01651684
Volume
52
Issue
2
Year of publication
1996
Pages
217 - 234
Database
ISI
SICI code
0165-1684(1996)52:2<217:IIACUA>2.0.ZU;2-#
Abstract
An identifiability result determines whether there exists a linear tim e-invariant model capable of matching certain input/output data observ ed from experiments with measurement noise. If no match is possible, a method is presented to find the closest linear model to the data. A w eighted q-Markov COVER method is introduced for identification with me asurement noise. These results are used to develop an iterative closed -loop identification/control design algorithm.