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The first is to estimate a metamodel for a time-shared computer system using a sequential design procedure.
A sequential design procedure is explained, whereby two arms are designed first to satisfy workspace requirements, then the third arm is designed to provide a singularity-free workspace.
The sequential design procedure, based on the correspondence between the functionality of the column's section among the simple columns and the derived sequences, is compared with a mathematical based optimization algorithm.
As a consequence, Maxmin, Bayesian or Equal Model Weights optimization criteria must be adopted to select the best experimental conditions in the Pareto set for discrimination of rival models within the scope of a sequential design procedure.
This is often the first phase in the waterfall software development model which relies on a pre-planned sequential design procedure [ 22].
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The first part of the paper consists of a brief statement of the statistical concepts and procedures involved in obtaining precise estimates of parameters, the logic of the design criterion, and the general sequential design procedures.
The sequential experimental design procedure for discriminating among single response rival models outlined in Chem.
A sequential experimental design procedure which aims at obtaining precise parameter estimates of the mathematical model is proposed and illustrated.
Buzzi-Ferraris, P. Forzatti, G. Emig, H. Hofmann, Sequential experimental design procedure for model discrimination in the case of multiple responses.
There are two typical procedures to design decentralized controllers, 'independent' and 'sequential' design procedures.
Further, Hosten and Emig [44] have developed sequential experimental design procedures for precise parameter estimation in ordinary differential equations.
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