Detail publikace

Generalized Predictive Control with a Non-linear Autoregressive Model

Hynek Vychodil, Michal Schmidt, Petr Nepevný,Petr Pivoňka

Originální název

Generalized Predictive Control with a Non-linear Autoregressive Model

Typ

článek v časopise - ostatní, Jost

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 model’s 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 v angličtině

Neural network, Non-linear Modelling, Predictive control

Autoři

Hynek Vychodil, Michal Schmidt, Petr Nepevný,Petr Pivoňka

Rok RIV

2005

Vydáno

30. 3. 2005

ISSN

1109-2734

Periodikum

WSEAS Transactions on Circuits

Ročník

2005

Číslo

3

Stát

Řecká republika

Strany od

125

Strany do

130

Strany počet

6

BibTex

@article{BUT46302,
  author="Hynek {Vychodil} and Michal {Schmidt} and Petr {Nepevný} and Petr {Pivoňka}",
  title="Generalized Predictive Control with a Non-linear Autoregressive Model",
  journal="WSEAS Transactions on Circuits",
  year="2005",
  volume="2005",
  number="3",
  pages="6",
  issn="1109-2734"
}