Attributes | Values |
---|
rdf:type
| |
Description
| - Pro adaptivní regulátor je nejčastěji používanou identifikační metodou metoda nejmenších čtverců. Tato metoda vyžaduje použití relativně dlouhé periody vzorkování a poruchové signály působící na proces jsou tak hůře vyregulovány. Použití identifikačních metod na bázi neuronových sítí dovoluje podstatným způsobem zkrátit periodu vzorkování. (cs)
- Application of an adaptive semi-inversion neural controller for a laboratory hot-air system model is described. The system can be used to control two parameters - the airflow and the temperature inside the tunnel. The hot-air system displays negative effects commonly occurring in industrial applications - different static amplifications at different operating points, large offset increasing with time, dead zone and noise. The used semi-inversion neural controller is based on an inversion controller, bbut is capable of solving problems such as oscillating control action, noise sensitivity and ill-estimated parameters in the initial phase of control or adjustment.
- Application of an adaptive semi-inversion neural controller for a laboratory hot-air system model is described. The system can be used to control two parameters - the airflow and the temperature inside the tunnel. The hot-air system displays negative effects commonly occurring in industrial applications - different static amplifications at different operating points, large offset increasing with time, dead zone and noise. The used semi-inversion neural controller is based on an inversion controller, bbut is capable of solving problems such as oscillating control action, noise sensitivity and ill-estimated parameters in the initial phase of control or adjustment. (en)
|
Title
| - Application of Neural Networks for Hot-Air System Control
- Application of Neural Networks for Hot-Air System Control (en)
- Použití neuronových sítí pro řízení horkovzdušného systému (cs)
|
skos:prefLabel
| - Application of Neural Networks for Hot-Air System Control
- Application of Neural Networks for Hot-Air System Control (en)
- Použití neuronových sítí pro řízení horkovzdušného systému (cs)
|
skos:notation
| - RIV/00216305:26220/04:PU41333!RIV06-GA0-26220___
|
http://linked.open.../vavai/riv/strany
| |
http://linked.open...avai/riv/aktivita
| |
http://linked.open...avai/riv/aktivity
| - P(GD102/03/H116), Z(MSM 260000013)
|
http://linked.open...iv/cisloPeriodika
| |
http://linked.open...vai/riv/dodaniDat
| |
http://linked.open...aciTvurceVysledku
| |
http://linked.open.../riv/druhVysledku
| |
http://linked.open...iv/duvernostUdaju
| |
http://linked.open...titaPredkladatele
| |
http://linked.open...dnocenehoVysledku
| |
http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/04:PU41333
|
http://linked.open...riv/jazykVysledku
| |
http://linked.open.../riv/klicovaSlova
| - Semi-inversion controller, hot-air system, noise rejection, programmable logic controller, PID (en)
|
http://linked.open.../riv/klicoveSlovo
| |
http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
|
http://linked.open...ontrolniKodProRIV
| |
http://linked.open...i/riv/nazevZdroje
| - WSEAS Transactions on Systems
|
http://linked.open...in/vavai/riv/obor
| |
http://linked.open...ichTvurcuVysledku
| |
http://linked.open...cetTvurcuVysledku
| |
http://linked.open...vavai/riv/projekt
| |
http://linked.open...UplatneniVysledku
| |
http://linked.open...v/svazekPeriodika
| |
http://linked.open...iv/tvurceVysledku
| - Pivoňka, Petr
- Veleba, Václav
|
http://linked.open...n/vavai/riv/zamer
| |
issn
| |
number of pages
| |
http://localhost/t...ganizacniJednotka
| |