Detail publikace

Adaptive Nonlinear Model Predictive Control Based on Wiener Model

DOKOUPIL, J. PIVOŇKA, P.

Originální název

Adaptive Nonlinear Model Predictive Control Based on Wiener Model

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

This article deals with a nonlinear model predictive control design (NMPC) with closed loop identification which applies numerical optimization using the Levenberg-Marquardt method in iterative batch mode adaptation. The proposed approach enables asymptotic tracking of a reference trajectory by a prediction of a general nonlinear model. Investigation of the properties of the adaptive NMPC is performed using the Wiener nonlinear model which is considered to be suitable for representing a wide range of nonlinear process behavior. Although it requires little more effort in development than a standard pseudolinear model from the output error class, it offers better approximation of systems with highly nonlinear gains. The work therefore also seeks to formulate the optimal prediction of Wiener model output in both state space and input-output representation.

Klíčová slova

nonlinear model predictive control, time-varying systems, Wiener model, Levenberg-Marquardt method

Autoři

DOKOUPIL, J.; PIVOŇKA, P.

Rok RIV

2011

Vydáno

22. 11. 2011

Nakladatel

DAAAM International Vienn

Místo

TU Wien Karlsplatz 13/311 A-1040 Vienna Austria

ISSN

1726-9687

Periodikum

DAAAM International Scientific Book

Ročník

10

Číslo

11

Stát

Rakouská republika

Strany od

417

Strany do

424

Strany počet

8

BibTex

@article{BUT74600,
  author="Jakub {Dokoupil} and Petr {Pivoňka}",
  title="Adaptive Nonlinear Model Predictive Control Based on Wiener Model",
  journal="DAAAM International Scientific Book",
  year="2011",
  volume="10",
  number="11",
  pages="417--424",
  issn="1726-9687"
}