Detail publikace
Adaptive Control: The Issue of Short Sampling Period
Pivoňka, P., Švancara, K.
Originální název
Adaptive Control: The Issue of Short Sampling Period
Anglický název
Adaptive Control: The Issue of Short Sampling Period
Jazyk
en
Originální abstrakt
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 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. Presented paper shows a comparison of two real-time identification methods with improved adaptive linear optimal controller.
Anglický abstrakt
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 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. Presented paper shows a comparison of two real-time identification methods with improved adaptive linear optimal controller.
Dokumenty
BibTex
@inproceedings{BUT15000,
author="Petr {Pivoňka} and Kamil {Švancara}",
title="Adaptive Control: The Issue of Short Sampling Period",
annote="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 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. Presented paper shows a comparison of two real-time identification methods with improved adaptive linear optimal controller.",
address="WSEAS",
booktitle="5th Int. Conf. on Simulation, Modelling and Optimization SMO'05",
chapter="15000",
institution="WSEAS",
year="2005",
month="august",
pages="140",
publisher="WSEAS",
type="conference paper"
}