Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model

Haber, Robert; Bars, Ruth; Lengyel, Orsolya

Download

Title: Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model

Subtitle:

Group publication title:

AMCS, volume 9 (1999)

Abstract:

Predictive control algorithms have been worked out mainly to control linear plants. There is a great demand to apply different control ideas to nonlinear systems. Using predictive control algorithms for nonlinear systems is a promising technique. Extended horizon one-step-ahead and long-range optimal predictive control algorithms are given here for the parametric Volterra model (which includes also the generalized Hammerstein model). ; A quadratic cost function is minimized which considers the quadratic deviations of the reference signal and the output signal at a future point (or points) beyond the dead time and also penalizes large control signal increments. For prediction of the output signal, a predictive model is applied which uses information about the input and output signals up to the current time. ; A predictive transformation of the nonlinear dynamic model is given. The incremental model is advantageous since the cost function contains the control increment and not the control signal itself. An incremental transformation of the predictive forms is also described. Sub-optimal solutions to the optimal control algorithms are discussed with different assumptions for the control signal during the control horizon. The effect of the different strategies and the effect of the tuning parameters is investigated through simulation examples.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58164

Pages:

161-173

Source:

AMCS, volume 9, number 1 (1999) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

predictive control nonlinear control optimal control nonlinear systems adaptive control

Object collections:

Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering

Digital Library of Zielona Góra > Repository > Types of work > Articles

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS)

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1999)

Last modified:

Sep 3, 2021

In our library since:

Jan 19, 2021

Number of object content hits:

100

All available object's versions:

https://zbc.uz.zgora.pl/publication/64779

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

International Journal of Applied Mathematics and Computer Science (AMCS)

Edition name	Date
Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model	Sep 3, 2021

Object

Title: Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model

Creator:

Date:

Resource Type:

Contributor:

Subtitle:

Group publication title:

Abstract:

Publisher:

Resource Identifier:

Pages:

Source:

Language:

Rights:

Subject and keywords:

Object collections:

Last modified:

In our library since:

Number of object content hits:

All available object's versions:

Show description in RDF format:

Show description in OAI-PMH format:

Objects

Similar

similar in FBC

Contact details

Address

Phone

E-Mail