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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Sampled-Data Models for Linear and Nonlinear Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R3,801
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Sampled-Data Models for Linear and Nonlinear Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Communications and Control Engineering
Expected to ship within 10 - 15 working days
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Sampled-data Models for Linear and Nonlinear Systems provides a
fresh new look at a subject with which many researchers may think
themselves familiar. Rather than emphasising the differences
between sampled-data and continuous-time systems, the authors
proceed from the premise that, with modern sampling rates being as
high as they are, it is becoming more appropriate to emphasise
connections and similarities. The text is driven by three motives:
* the ubiquity of computers in modern control and signal-processing
equipment means that sampling of systems that really evolve
continuously is unavoidable; * although superficially
straightforward, sampling can easily produce erroneous results when
not treated properly; and * the need for a thorough understanding
of many aspects of sampling among researchers and engineers dealing
with applications to which they are central. The authors tackle
many misconceptions which, although appearing reasonable at first
sight, are in fact either partially or completely erroneous. They
also deal with linear and nonlinear, deterministic and stochastic
cases. The impact of the ideas presented on several standard
problems in signals and systems is illustrated using a number of
applications. Academic researchers and graduate students in
systems, control and signal processing will find the ideas
presented in Sampled-data Models for Linear and Nonlinear Systems
to be a useful manual for dealing with sampled-data systems,
clearing away mistaken ideas and bringing the subject thoroughly up
to date. Researchers in statistics and economics will also derive
benefit from the reworking of ideas relating a model derived from
data sampling to an original continuous system.
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