Detail publikace

Generalized Predictive Control with Nonlinear Model

MIKŠÁNEK, V.

Originální název

Generalized Predictive Control with Nonlinear Model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with Model Predictive Control (MPC) - a control algorithm which optimizes control action and output error within a time horizon. A nonlinear model is obtained by using Neural Network and has to be linearized in each operating point. A model is used to predict the future behaviour. First, the control algorithm was implemented in MATLAB/Simulink and tested on mathematical models. After that it was implemented in the Programmable Logical Controller (PLC) B&R and tested on a physical model.

Klíčová slova

Generalized Predictive Control, Nonlinear Model, Neural Networks

Autoři

MIKŠÁNEK, V.

Rok RIV

2007

Vydáno

1. 1. 2007

Nakladatel

Ing. Zdeněk Novotný, CSc.

ISBN

978-80-214-3409-7

Kniha

PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 2007

Strany od

87

Strany do

91

Strany počet

5

BibTex

@inproceedings{BUT22962,
  author="Vojtěch {Mikšánek}",
  title="Generalized Predictive Control with Nonlinear Model",
  booktitle="PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 2007",
  year="2007",
  pages="5",
  publisher="Ing. Zdeněk Novotný, CSc.",
  isbn="978-80-214-3409-7"
}