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NEPEVNÝ, P.
Original Title
Adaptive Constrained Generalized Predictive Control Based on Neural Network
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
predictive, MPC, GPC, neural network, adaptive
Key words in English
Authors
Released
01.01.2005
Publisher
Ing. Zdeněk Novotný CSc., Ondráčkova 105 Brno
Location
Brno
ISBN
80-214-2889-9
Book
Proceedings of the 11th conference student EEICT 2005
Pages from
51
Pages count
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" }