Detail publikace
Adaptive Constrained Generalized Predictive Control Based on Neural Network
NEPEVNÝ, P.
Originální název
Adaptive Constrained Generalized Predictive Control Based on Neural Network
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper presents solution of constrained Generalized Predictive Control (GPC) with autoregressive model based on neural network. Neural model is able to observe system changes and adapt itself. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. The usage possibilities of this approach were tested on mathematical and physical models in soft-real-time realization. Constrained GPC algorithm was compared with classical PSD controller and advantages and disadvantages of predictive control are shown.
Klíčová slova
predictive, MPC, GPC, neural network, adaptive
Autoři
NEPEVNÝ, P.
Rok RIV
2005
Vydáno
1. 1. 2005
Nakladatel
Ing. Zdeněk Novotný CSc., Ondráčkova 105 Brno
Místo
Brno
ISBN
80-214-2889-9
Kniha
Proceedings of the 11th conference student EEICT 2005
Strany od
51
Strany do
55
Strany počet
5
BibTex
@inproceedings{BUT16289,
author="Petr {Nepevný}",
title="Adaptive Constrained Generalized Predictive Control Based on Neural Network",
booktitle="Proceedings of the 11th conference student EEICT 2005",
year="2005",
pages="5",
publisher="Ing. Zdeněk Novotný CSc., Ondráčkova 105 Brno",
address="Brno",
isbn="80-214-2889-9"
}