Detail publikace

Generalized Predictive Control with Adaptive Model Based on Neural Networks

PIVOŇKA, P. NEPEVNÝ, P.

Originální název

Generalized Predictive Control with Adaptive Model Based on Neural Networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and its advantages and disadvantages are shown.

Klíčová slova

GPC, MPC, predictive, control, adaptive model, Neural Networks

Autoři

PIVOŇKA, P.; NEPEVNÝ, P.

Rok RIV

2005

Vydáno

15. 6. 2005

Nakladatel

WSEAS

Místo

Lisabon

ISBN

960-8457-24-6

Kniha

Proceedings of the WSEAS Conferences NN'05, FS'05, EC'05

Strany od

1

Strany do

5

Strany počet

5

BibTex

@inproceedings{BUT14827,
  author="Petr {Pivoňka} and Petr {Nepevný}",
  title="Generalized Predictive Control with Adaptive Model Based on Neural Networks",
  booktitle="Proceedings of the WSEAS Conferences NN'05, FS'05, EC'05",
  year="2005",
  pages="1--5",
  publisher="WSEAS",
  address="Lisabon",
  isbn="960-8457-24-6"
}