Artificial Intelligence techniques applied as estimator in chemical process systems–A literature survey

JM Ali, MA Hussain, MO Tade, J Zhang - Expert Systems with Applications, 2015 - Elsevier
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 …

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 …

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 …

ProGAN: Protein solubility generative adversarial nets for data augmentation in DNN framework

X Han, L Zhang, K Zhou, X Wang - Computers & Chemical Engineering, 2019 - Elsevier
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 …

Prediction of foods freezing and thawing times: Artificial neural networks and genetic algorithm approach

SM Goni, S Oddone, JA Segura, RH Mascheroni… - Journal of food …, 2008 - Elsevier
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 …

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 …

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 …

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 …

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 …

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 …