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: 55909 HUF
Availability: InStock

Szerző: JuS Kocijan

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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55 909 Ft

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

Információk a könyvről

Szerző

JuS Kocijan

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2015

oldal

267

EAN

9783319210209

ISBN

3319210203

Enbook ID

09361490

Kiadó

Springer International Publishing AG

Súly

6017

Méretek

155 x 235 x 242

Teljes leírás

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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