Lifted digital redesign of observer-based tracker for a sampled-data system

H. P. Wang; J. S.H. Tsai; Y. I. Yi; L. S. Shieh

doi:10.1080/00207720410001714815

Lifted digital redesign of observer-based tracker for a sampled-data system

H. P. Wang, J. S.H. Tsai, Y. I. Yi, L. S. Shieh

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

A lifted prediction-based digital redesign method to discretize an analogue tracker for a sampled-data systems is presented. The developed lifted digital redesign method is then used to construct a full/reduced-order digital observer. The developed lifted observer-based digital tracker improves the intersample behaviour of the digitally redesigned sampled-data systems. An illustrative example of a hybrid multivariable system demonstrates the effectiveness of the proposed method.

Original language	English
Pages (from-to)	255-271
Number of pages	17
Journal	International Journal of Systems Science
Volume	35
Issue number	4
DOIs	https://doi.org/10.1080/00207720410001714815
Publication status	Published - 2004 Apr 10

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications

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10.1080/00207720410001714815

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abstract = "A lifted prediction-based digital redesign method to discretize an analogue tracker for a sampled-data systems is presented. The developed lifted digital redesign method is then used to construct a full/reduced-order digital observer. The developed lifted observer-based digital tracker improves the intersample behaviour of the digitally redesigned sampled-data systems. An illustrative example of a hybrid multivariable system demonstrates the effectiveness of the proposed method.",

author = "Wang, {H. P.} and Tsai, {J. S.H.} and Yi, {Y. I.} and Shieh, {L. S.}",

note = "Funding Information: Work was supported by the National Science Council of Republic of China under Contract NSC-92-2213-E-006-031 and by the US Army Research Office under Grant DAAD 19-02-1-0321.",

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AU - Wang, H. P.

AU - Tsai, J. S.H.

AU - Yi, Y. I.

AU - Shieh, L. S.

N1 - Funding Information: Work was supported by the National Science Council of Republic of China under Contract NSC-92-2213-E-006-031 and by the US Army Research Office under Grant DAAD 19-02-1-0321.

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