Modelling and Control of Dynamic Systems Using Gaussian Process Models

Name: Modelling and Control of Dynamic Systems Using Gaussian Process Models
Brand: Springer International Publishing AG
SKU: 9783319210209
Price: 139.34 EUR
Availability: InStock

Autor: JuS Kocijan

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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139.34 €

This monograph opens up new horizons for engineers and researchers in academia and in industry deali...

Informácie o knihe

Autor

JuS Kocijan

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2015

Stránok

267

EAN

9783319210209

ISBN

3319210203

Enbook ID

09361490

Vydavateľ

Springer International Publishing AG

Hmotnosť

6017

Rozmery

155 x 235 x 242

Kompletný popis

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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Modelling and Control of Dynamic Systems Using Gaussian Process Models

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