Publication detail

Predictive Controller with Neural Network Classificator

DOBIAS, M. PIVONKA, P.

Original Title

Predictive Controller with Neural Network Classificator

English Title

Predictive Controller with Neural Network Classificator

Type

journal article - other

Language

en

Original Abstract

Predictive controllers are nowadays a necessary part of industrial processes. The main reason for application of this kind of controllers is their specific attributes which provide many advantages in this area. In this paper we will design multi-model predictive controller and make a comparison with standard predictive controller in closed loop which contains plant with uncertain parameters. Also we will be interested in problems which can be caused by noise in the closed loop. In the last part of the article we apply both predictive controllers in control circuit which contains the physical model.

English abstract

Predictive controllers are nowadays a necessary part of industrial processes. The main reason for application of this kind of controllers is their specific attributes which provide many advantages in this area. In this paper we will design multi-model predictive controller and make a comparison with standard predictive controller in closed loop which contains plant with uncertain parameters. Also we will be interested in problems which can be caused by noise in the closed loop. In the last part of the article we apply both predictive controllers in control circuit which contains the physical model.

Keywords

predictive control, artificial neural network, plant with uncertainty, classification

RIV year

2011

Released

26.05.2011

Publisher

Technical University Sofia, branch Plovdiv

Location

Plovdiv

ISBN

1310-8271

Periodical

Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications

Year of study

16

Number

1

State

BG

Pages from

259

Pages to

263

Pages count

5

Documents

BibTex


@article{BUT72641,
  author="Michal {Dobias} and Petr {Pivoňka}",
  title="Predictive Controller with Neural Network Classificator",
  annote="Predictive controllers are nowadays a necessary part of industrial processes. The main reason for application of this kind of controllers is their specific attributes which provide many advantages in this area. In this paper we will design multi-model predictive controller and make a comparison with standard predictive controller in closed loop which contains plant with uncertain parameters. Also we will be interested in problems which can be caused by noise in the closed loop. In the last part of the article we apply both predictive controllers in control circuit which contains the physical model.",
  address="Technical University Sofia, branch Plovdiv",
  chapter="72641",
  institution="Technical University Sofia, branch Plovdiv",
  journal="TechSys 2011 Internationa Conference of Engieering, Technologies and Systems",
  number="1",
  volume="16",
  year="2011",
  month="may",
  pages="259--263",
  publisher="Technical University Sofia, branch Plovdiv",
  type="journal article - other"
}