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Autor(en): 
  • Ju¿ Kocijan
  • Modelling and Control of Dynamic Systems Using Gaussian Process Models 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Dezember 2015  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Chemical Engineering / Control and Systems Theory / Control engineering / engineering / Industrial Chemistry / Industrial chemistry & chemical engineering / Industrial Chemistry/Chemical Engineering / Probability & statistics / Statistics
    ISBN:  9783319210209 
    EAN-Code: 
    9783319210209 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Advances in Industrial Control  
    Dimensionen:  H 241 mm / B 160 mm / D 20 mm 
    Gewicht:  646 gr 
    Seiten:  284 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research.

    Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including:

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

    A MATLAB ®  toolbox, for identification and simulation of dynamic GP models is provided for download.

      



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