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"
}