About: Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. The new approach to analysis of on-line identification methods based on one-step-ahead prediction clears up their sensitivity to disturbances in control loop. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other hand it brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown; that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. The new approach to analysis of on-line identification methods based on one-step-ahead prediction clears up their sensitivity to disturbances in control loop. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other hand it brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown; that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. (en)
Title	Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period (en)
skos:prefLabel	Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period (en)
skos:notation	RIV/00216305:26220/08:PU73499!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/06/1132), Z(MSM0021630529)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Veleba, Václav Pivoňka, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	354878
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/08:PU73499
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Adaptive Controllers, Neural Networks for Identification, Comparison of Identifications methods, Rapid Sampling Domain. (en)
http://linked.open.../riv/klicoveSlovo	Adaptive Controllers Comparison of Identifications methods Neural Networks for Identification Rapid Sampling Domain.
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[7BDCC13B8D7D]
http://linked.open...i/riv/nazevZdroje	INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Softcomputing in Control
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	1
http://linked.open...iv/tvurceVysledku	Pivoňka, Petr Veleba, Václav
http://linked.open...n/vavai/riv/zamer	Inteligentní systémy v automatizaci
issn	1998-0140
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software