Modelling and Control of Dynamic Systems Using Gaussian Process Models

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 th...

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Bibliographic Details
Main Author: Kocijan, Juš (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Advances in Industrial Control,
Subjects:
Control engineering.
Chemistry, Technical.
Statistics .
Control and Systems Theory.
Industrial Chemistry.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Online Access:Full-text access
Table of Contents:
  • System Identification with GP Models
  • Incorporation of Prior Knowledge
  • Control with GP Models
  • Trends, Challenges and Research Opportunities
  • Case Studies.

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