Search Results for author:
Found 4 papers, 0 papers with code
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
We implement optimal control constrained by knowledge-based and hybrid models for optogenetic ATPase expression in $\textit{Escherichia coli}$ with lactate as the main product.
Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics
Furthermore, many bioprocesses are optimized empirically and implemented with little-to-no feedback control to counteract disturbances.
Cultural Vocal Bursts Intensity Prediction
Model Predictive Control
Machine Learning for Process Control of (Bio)Chemical Processes
The control of manufacturing processes must satisfy high quality and efficiency requirements while meeting safety requirements.
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
Model-based optimization approaches for monitoring and control, such as model predictive control and optimal state and parameter estimation, have been used for decades in many engineering applications.
