Detail publikace

Adaptive Control: The Issue of Short Sampling Period

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.

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"
}