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rdf:type
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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. The quantization effect is more known for example in instrumentation theory or r signal processing theory than in control theory. Furthermore, in control theory the phenomenon has been usually disregarded. It is due to the fact that the conditions used in process control allow the quantization effect to be ignored. Nowadays, when the sampling period is demanded to be very short and the requirements for the control precision are higher then before, the quantization effect plays considerable role in the practical control. Presented paper shows a comparison of two real-time identific
- 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. The quantization effect is more known for example in instrumentation theory or r signal processing theory than in control theory. Furthermore, in control theory the phenomenon has been usually disregarded. It is due to the fact that the conditions used in process control allow the quantization effect to be ignored. Nowadays, when the sampling period is demanded to be very short and the requirements for the control precision are higher then before, the quantization effect plays considerable role in the practical control. Presented paper shows a comparison of two real-time identific (en)
- Použití kráyké periody vzorkování není v literatuře dostatečně popsáno a nejsou zhodnoceny vlivy při jejím použití. Článek se zbývá zhodnocením těchto vlivů a uvádí některá východiska pro jejich řešení. (cs)
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Title
| - The Use of Short Sampling Period in Adaptive Control
- The Use of Short Sampling Period in Adaptive Control (en)
- Použití krátké periody vzorkování v adaptivních regulátorech. (cs)
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skos:prefLabel
| - The Use of Short Sampling Period in Adaptive Control
- The Use of Short Sampling Period in Adaptive Control (en)
- Použití krátké periody vzorkování v adaptivních regulátorech. (cs)
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skos:notation
| - RIV/00216305:26220/05:PU50811!RIV06-MSM-26220___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/05:PU50811
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Adaptive control, A/D converters, Delta models, Identification algorithms, Linear quadratic regulators, Neural networks, Quantization errors, Recursive algorithm, Sampling period (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - WSEAS Transactions on Systems
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Pivoňka, Petr
- Švancara, Kamil
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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