DYNA JOURNAL ENGINEERING

Key words:

modelo predictivo de control, aprendizaje automáti

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

ABSTRACT:
A Model Predictive Control (MPC) is a system which allows us to control a production plant. 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 which the plant is going to be in a given time. Currently, the majority of the research in this field is related to linear MPC, although the process, which the model tries to represent, may not be. Thus, this paper presents a new approach to generate a hybrid prediction system based on a combination of machine-learning methods.

Keywords: model predictive control, machine learning, fault prediction, data mining, process optimisation.)