Modelo predictivo de control en fundiciones de alta precisiónun nuevo enfoque para la fase de predicción

  1. J. Nieves 1
  2. I. Santos 1
  3. P.G. Bringas 1
  1. 1 Universidad de Deusto
    info

    Universidad de Deusto

    Bilbao, España

    ROR https://ror.org/00ne6sr39

Journal:
Revista de metalurgia

ISSN: 0034-8570

Year of publication: 2011

Volume: 47

Issue: 4

Pages: 341-354

Type: Article

DOI: 10.3989/REVMETALM.1059 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista de metalurgia

Abstract

A Model Predictive Control (MPC) is a system which allows us to control a production plant. Thanks to this type of system is possible to make a production that comes close to �zero defects�. In order to achieve its main goal, this kind of systems consists of several phases. One of the most important is the phase that predicts the situation in represented by machine-learning models. which the plant is going to be in a given time. Currently, the majority of the research in this field are related to linear MPC, although the process, which the model tries to represent, may not be. Thus, this paper presents several experiments that proof that the forecast phase, usually represented by a single mathematical function, can be

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