Artificial Intelligence techniques applied as estimator in chemical process systems–A literature survey
Abstract The versatility of Artificial Intelligence (AI) in process systems is not restricted to
modelling and control only, but also as estimators to estimate the unmeasured parameters …
modelling and control only, but also as estimators to estimate the unmeasured parameters …
Automatic control of bioprocesses
M Stanke, B Hitzmann - … Monitoring, Modelling and Control of Bioprocesses, 2013 - Springer
In this chapter, different approaches for open-loop and closed-loop control applied in
bioprocess automation are discussed. Although in recent years many contributions dealing …
bioprocess automation are discussed. Although in recent years many contributions dealing …
Soft sensor assisted dynamic bioprocess control: Efficient tools for bioprocess development
P Sagmeister, P Wechselberger, M Jazini… - Chemical Engineering …, 2013 - Elsevier
The exploitation of dynamic process conditions increasingly finds attention for strain
screening and bioprocess development of biotechnological products. Prerequisite for …
screening and bioprocess development of biotechnological products. Prerequisite for …
ProGAN: Protein solubility generative adversarial nets for data augmentation in DNN framework
Protein solubility plays a critical role in improving production yield of recombinant proteins in
biocatalysis applications. To some extent, protein solubility can represent the function and …
biocatalysis applications. To some extent, protein solubility can represent the function and …
Prediction of foods freezing and thawing times: Artificial neural networks and genetic algorithm approach
In this work a feedforward neural network, trained and validated using experimental values
of freezing and thawing times of foods and test substances of different geometries, is …
of freezing and thawing times of foods and test substances of different geometries, is …
Integrating systems analysis and control for implementing process analytical technology in bioprocess development
J Gomes, VR Chopda… - Journal of Chemical …, 2015 - Wiley Online Library
This paper provides a perspective on the increasingly critical role that systems analysis and
process control play in bioprocess development today. This is of particular importance to the …
process control play in bioprocess development today. This is of particular importance to the …
An adaptive super-twisting sliding mode algorithm for robust control of a biotechnological process
S Bouyahia, S Semcheddine, B Talbi… - International Journal of …, 2020 - Springer
In this paper, a robust super-twisting sliding mode control with adaptive tuning law is
developed for a nonlinear biotechnological process, which takes place inside a continuous …
developed for a nonlinear biotechnological process, which takes place inside a continuous …
Optimization of bioethanol in silico production process in a fed-batch bioreactor using non-linear model predictive control and evolutionary computation techniques
HFS Freitas, JE Olivo, CMG Andrade - Energies, 2017 - mdpi.com
Due to growing worldwide energy demand, the search for diversification of the energy matrix
stands out as an important research topic. Bioethanol represents a notable alternative of …
stands out as an important research topic. Bioethanol represents a notable alternative of …
Monitoring and control of bioreactor: Basic concepts and recent advances
J Gomes, V Chopda, AS Rathore - … technology for production of …, 2018 - Wiley Online Library
Bioreactors (fermenters) are the key unit operation in biopharmaceutical, brewing,
biochemical, biofuel, and waste treatment processes. The need for monitoring, control, and …
biochemical, biofuel, and waste treatment processes. The need for monitoring, control, and …
Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process
D Li, L Qian, Q Jin, T Tan - Applied Soft Computing, 2011 - Elsevier
A tight and robust yeast fermentation controller is usually difficult to achieve because of the
inherent uncertainty, nonlinear, and time-varying characteristics of the yeast fermentation …
inherent uncertainty, nonlinear, and time-varying characteristics of the yeast fermentation …