Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933229

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Title
Sampling and sampled-data models
Author/Creator
Goodwin, Graham C.;  Yuz, Juan I.;  Aguero, Juan C.;  Cea, Mauricio
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
Physical systems typically evolve continuously whereas modern controllers and signal processing devices invariably operate in discrete time. Hence sampling arises as a cornerstone problem in essentially all aspects of modern systems science. This paper reviews various aspects of sampling of signals and systems. We argue that careful consideration must be given to sampling to obtain meaningful results when interconnecting a physical system to a computer for the purpose of data storage, signal processing, or control. We also take the opportunity to dispel several common misconceptions about sampling and sampled-data systems.
Relation
2010 American Control Conference (ACC 2010). Proceedings of the 2010 American Control Conference (Baltimore, MD 30 June - 2 July, 2010)
Relation
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5531562
Date
2010
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
digital systems;  discrete time systems;  signal processing equipment
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/933229
Identifier
ISBN:978142474264
Identifier
ISSN:0743-1619
Reviewed
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Subject
"Sampling and sampled-data models"
 
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