Publication detail

Adaptive Control: The Issue of Short Sampling Period

Pivoňka, P., Švancara, K.

Original Title

Adaptive Control: The Issue of Short Sampling Period

English Title

Adaptive Control: The Issue of Short Sampling Period

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

RIV year

2005

Released

17.08.2005

Publisher

WSEAS

Location

Řecko

ISBN

960-8457-32-7

Book

5th Int. Conf. on Simulation, Modelling and Optimization SMO'05

Pages from

140

Pages to

145

Pages count

6

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"
}