Loading…
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...
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: | |
Online Access: | Full-text access |
Similar Items
-
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
by: Shang, Chao
Published: (Springer Nature Singapore : Imprint: Springer, 2018.) -
Introduction to Multivariate Calibration A Practical Approach /
by: Olivieri, Alejandro C.
Published: (Springer International Publishing : Imprint: Springer, 2018.) -
Modeling and Control of Batch Processes Theory and Applications /
by: Mhaskar, Prashant, et al.
Published: (Springer International Publishing : Imprint: Springer, 2019.) -
Economic Model Predictive Control Theory, Formulations and Chemical Process Applications /
by: Ellis, Matthew, et al.
Published: (Springer International Publishing : Imprint: Springer, 2017.) -
Kaizen Planning, Implementing and Controlling
by: García-Alcaraz, Jorge Luis, et al.
Published: (Springer International Publishing : Imprint: Springer, 2017.)