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Best achievable tracking performance in sampled-data control systems

Jie Chen, Shinji Hara*, Li Qui, Rick Middleton

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper we study the problem of tracking a step reference signal using sampled-data control systems. We investigate the best achievable tracking performance, where the performance is deemed best for it is the minimal attainable by all possible sampled-data stabilizing controllers. Our primary objective is to investigate the fundamental tracking performance limit in sampled-data systems, and to understand whether and how sampling and hold in a sampled-data system may impose intrinsic barriers to performance. For this optimal tracking performance. The result shows that a performance loss is generally incurred in a sampled-data system, in comparison to the tracking performance achievable by continuous-time controllers. This loss of performance, as so demonstrated by the expression, can be attributed to the non-minimum behaviors and the aliasing effects generated by samplers and hold devices. © 2002 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 41st IEEE Conference on Decision and Control
PublisherIEEE
Pages3889-3894
Volume4
ISBN (Electronic)0-7803-7517-3
ISBN (Print)0-7803-7516-5
DOIs
Publication statusPublished - Dec 2002
Externally publishedYes
Event41st IEEE Conference on Decision and Control (CDC 2002) - Las Vegas, United States
Duration: 10 Dec 200213 Dec 2002

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Conference

Conference41st IEEE Conference on Decision and Control (CDC 2002)
PlaceUnited States
CityLas Vegas
Period10/12/0213/12/02

Research Keywords

  • H2 control
  • Non-minimum phase zeros
  • Performance limitation
  • Sampled-data feedback system

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