English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC

MPS-Authors
/persons/resource/persons270597

Espinel-Rios,  Sebastian
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

espinel_rios_3424023.pdf
(Publisher version), 477KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Morabito, B., Pohlodek, J., Kranert, L., Espinel-Rios, S., & Findeisen, R. (2022). Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC. In IFAC-PapersOnLine (pp. 922-927).


Cite as: https://hdl.handle.net/21.11116/0000-000B-226F-3
Abstract
There is no abstract available