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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F05%3APU50810%21RIV06-MSM-26220___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other handit brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. Presented paper shows a comparison of two real-time identification methods wit th improved adaptive linear optimal controller. Použití krátké periody vzorkování není v literatuře dostatečně popsáno a není dostatečně publikován její vliv. Krátká perioda vzorkování přitom může podstatmým způsobem ovlivnit dynamiku přechodného děje. The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other handit brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. Presented paper shows a comparison of two real-time identification methods wit th improved adaptive linear optimal controller.
dcterms:title
Adaptive Control: The Issue of Short Sampling Period Adaptivní řízení: Vlivy krátké periody vzorkování Adaptive Control: The Issue of Short Sampling Period
skos:prefLabel
Adaptive Control: The Issue of Short Sampling Period Adaptivní řízení: Vlivy krátké periody vzorkování Adaptive Control: The Issue of Short Sampling Period
skos:notation
RIV/00216305:26220/05:PU50810!RIV06-MSM-26220___
n3:strany
140-145
n3:aktivita
n4:Z
n3:aktivity
Z(MSM0021630503)
n3:dodaniDat
n13:2006
n3:domaciTvurceVysledku
n15:9304010 n15:1818341
n3:druhVysledku
n16:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
511373
n3:idVysledku
RIV/00216305:26220/05:PU50810
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Adaptive control, A/D converters, Delta models, Identification algorithms, Linear quadratic regulators, Neural networks, Quantization errors, Recursive algorithm, Sampling period
n3:klicoveSlovo
n8:Adaptive%20control n8:Neural%20networks n8:Linear%20quadratic%20regulators n8:Recursive%20algorithm n8:Delta%20models n8:A%2FD%20converters n8:Sampling%20period n8:Quantization%20errors n8:Identification%20algorithms
n3:kontrolniKodProRIV
[070F3D219713]
n3:mistoKonaniAkce
Korfu
n3:mistoVydani
Řecko
n3:nazevZdroje
5th Int. Conf. on Simulation, Modelling and Optimization SMO'05
n3:obor
n14:BC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n13:2005
n3:tvurceVysledku
Pivoňka, Petr Švancara, Kamil
n3:typAkce
n21:EUR
n3:zahajeniAkce
2005-08-17+02:00
n3:zamer
n5:MSM0021630503
s:numberOfPages
6
n7:hasPublisher
WSEAS
n9:isbn
960-8457-32-7
n10:organizacniJednotka
26220