@article{WanGaw01,
author = {Liuping Wang and Peter J Gawthrop},
title = {On the estimation of continuous time transfer functions},
journal = {Int. J. Control},
year = 2001,
volume = 74,
number = 9,
pages = {889--904},
month = {June},
abstract = {This paper proposes a state variable filter approach to continuous
time system identification. Two topics are studied in
the paper. The first topic is related to the choice of
state variable filters. The strategy we adopt is to
adjust the time constants of the state variable filters
so that a prediction error criterion is minimized. As a
result, the estimated model reaches a balance between
bias and variances shown by a simulation example. The
second topic is related to the choice of model
structure. We extend a multiple model estimation
algorithm, developed using UD factorization, to
continuous time sysem identification. The estimation
algorithm generates a set of candidate models, among
which the 'best' model structure is found. A simulation
example is used to demonstrate the efficacy of the
proposed procedure, and an industrial case study on a
food cooking extrusion process is given to illustrate
the applicability of the algorithm.},
pdf = {../../Publications/csc2001/WanGaw01.pdf},
url = {http://dx.doi.org/10.1080/00207170110037894}
}
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