Detail publikace

Generalized Predictive Control with a Non-linear Autoregressive Model

VYCHODIL, H. SCHMIDT, M. NEPEVNÝ, P. PIVOŇKA, P.

Originální název

Generalized Predictive Control with a Non-linear Autoregressive Model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents a solution to computation of predictive control using non-linear auto-regressive models. For the non-linear model a neural network is used as a perspective tool for modelling of dynamic systems. However, the described approach is applicable to any type of auto-regressive model. The model is not linearized in the operating point, but in each control optimization step the models derivative is computed (linearization) for all points in the prediction horizon. The method can be used in real-time control. This is verified by porting the algorithm directly to the PLC.

Klíčová slova

Neural network, Modelling, Non-linear model, Predictive control

Autoři

VYCHODIL, H.; SCHMIDT, M.; NEPEVNÝ, P.; PIVOŇKA, P.

Rok RIV

2005

Vydáno

14. 3. 2005

Nakladatel

WSEAS

Místo

Praha

ISBN

960-8457-12-2

Kniha

Automatic Control Modeling and Simulation

Strany od

85

Strany do

89

Strany počet

5

BibTex

@inproceedings{BUT17482,
  author="Hynek {Vychodil} and Michal {Schmidt} and Petr {Nepevný} and Petr {Pivoňka}",
  title="Generalized Predictive Control with a Non-linear Autoregressive Model",
  booktitle="Automatic Control Modeling and Simulation",
  year="2005",
  pages="85--89",
  publisher="WSEAS",
  address="Praha",
  isbn="960-8457-12-2"
}