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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 the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of …
- Edition
- 1
- ISBN/ISSN
- 978-3-319-21020-9
- Collation
- XVI, 267
- Series Title
- Advances in Industrial Control
- Call Number
- -
Empirical Modeling and Data Analysis for Engineers and Applied Scientists
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the …
- Edition
- -
- ISBN/ISSN
- 978-3-319-32768-6
- Collation
- 40 b/w illustrations, 61 illustrations in colour
- Series Title
- -
- Call Number
- -
Modern Methodology and Applications in Spatial-Temporal Modeling
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known a…
- Edition
- 1
- ISBN/ISSN
- 978-4-431-55338-0
- Collation
- XV, 111
- Series Title
- SpringerBriefs in Statistics
- Call Number
- -
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