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Industrial Technical Chemistry

Modelling and Control of Dynamic Systems Using Gaussian by Juš Kocijan

By Juš Kocijan

This monograph opens up new horizons for engineers and researchers in
academia and in facing or attracted to new advancements in the
field of procedure identity and regulate. It emphasizes instructions for
working recommendations and useful suggestion for his or her implementation instead of the
theoretical history of Gaussian approach (GP) types. The e-book demonstrates
the strength of this contemporary improvement in probabilistic machine-learning
methods and provides the reader an intuitive knowing of the subject. The
current cutting-edge is taken care of besides attainable destiny instructions for
research.

Systems keep watch over layout depends upon mathematical types and those might be
developed from dimension information. This means of process id, when
based on GP types, can play an essential component of regulate layout in data-based
control and its description as such is an important element of the textual content. The
background of GP regression is brought first with process identity and
incorporation of previous wisdom then major into full-blown keep watch over. The book
is illustrated via wide use of examples, line drawings, and graphical
presentation of computer-simulation effects and plant measurements. The
research effects provided are utilized in real-life case reports drawn from
successful functions including:

  • a gas–liquid separator
    control;
  • urban-traffic signal
    modelling and reconstruction; and
  • prediction of atmospheric
    ozone concentration.

A MATLAB® toolbox, for identity and simulation of
dynamic GP types is supplied for download.

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