N. Point et al., PRACTICAL ISSUES IN DISTRIBUTED-PARAMETER ESTIMATION - GRADIENT COMPUTATION AND OPTIMAL EXPERIMENT DESIGN, Control engineering practice, 4(11), 1996, pp. 1553-1562
Citations number
26
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control
Parameter estimation in nonlinear distributed-parameter systems is usu
ally accomplished by minimizing an output least-square criterion, whic
h is defined implicitly through the solution of the model equations. T
his paper addresses itself to two important practical issues of the pa
rameter-estimation procedure, i.e., the numerical procedure used to co
mpute the gradient of the criterion with respect to the unknown parame
ters, and the selection of experimental conditions, i.e., sensor locat
ions and input signals. An experiment design procedure based on the se
nsitivity matrix is presented. The methods for gradient computation an
d experiment design have been successfully applied to several process
models, and are illustrated in this paper with a simple heat-conductio
n problem and a more complex model of a catalytic fixed-bed reactor.