Best achievable tracking performance in sampled-data control systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

3 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)3889-3894
Journal / PublicationProceedings of the IEEE Conference on Decision and Control
Volume4
Publication statusPublished - 2002
Externally publishedYes

Conference

Title41st IEEE Conference on Decision and Control
PlaceUnited States
CityLas Vegas, NV
Period10 - 13 December 2002

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.

Research Area(s)

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

Citation Format(s)

Best achievable tracking performance in sampled-data control systems. / Chen, Jie; Hara, Shinji; Qui, Li; Middleton, Rick.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 4, 2002, p. 3889-3894.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal