Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae
Abstract β-Carotene has a positive impact on human health as a precursor of vitamin A.
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …
Deep hybrid model‐based predictive control with guarantees on domain of applicability
A hybrid model integrates a first‐principles model with a data‐driven model which predicts
certain unknown dynamics of the process, resulting in higher accuracy than first‐principles …
certain unknown dynamics of the process, resulting in higher accuracy than first‐principles …
A survey and comparative evaluation of actor‐critic methods in process control
D Dutta, SR Upreti - The Canadian Journal of Chemical …, 2022 - Wiley Online Library
Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …
(RL) paradigm that enables model‐free control by acting on a process and learning from the …
Stochastic optimal control of mesostructure of supramolecular assemblies using dissipative particle dynamics and dynamic programming with experimental validation
The self-assembly process, where molecules form complex structures through interaction
forces, has broad applications in various fields. However, controlling the dynamics of self …
forces, has broad applications in various fields. However, controlling the dynamics of self …
[HTML][HTML] Robust control for anaerobic digestion systems of Tequila vinasses under uncertainty: A Deep Deterministic Policy Gradient Algorithm
TA Mendiola-Rodriguez… - Digital Chemical …, 2022 - Elsevier
The disposal of high concentrated Tequila vinasses is an environmental threat. An
alternative to solve this problem is through anaerobic digestion processes to reduce organic …
alternative to solve this problem is through anaerobic digestion processes to reduce organic …
Machine learning algorithms used in PSE environments: A didactic approach and critical perspective
LF Fuentes-Cortés, A Flores-Tlacuahuac… - Industrial & …, 2022 - ACS Publications
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …
engineering based on machine learning algorithms. A general description of most popular …
Machine learning-based operational modeling of an electrochemical reactor: Handling data variability and improving empirical models
Electrochemical reduction of carbon dioxide (CO2) has received increasing attention with
the recent rise in awareness of climate change and the increase in electricity supply from …
the recent rise in awareness of climate change and the increase in electricity supply from …
[HTML][HTML] Intelligent petroleum engineering
MA Mirza, M Ghoroori, Z Chen - Engineering, 2022 - Elsevier
Data-driven approaches and artificial intelligence (AI) algorithms are promising enough to
be relied on even more than physics-based methods; their main feed is data which is the …
be relied on even more than physics-based methods; their main feed is data which is the …
Integration of design and control for renewable energy systems with an application to anaerobic digestion: A deep deterministic policy gradient framework
TA Mendiola-Rodriguez, LA Ricardez-Sandoval - Energy, 2023 - Elsevier
In recent years, the urgent need to develop sustainable processes to curb the effects of
climate change has gained global attention and led to the transition into green technologies …
climate change has gained global attention and led to the transition into green technologies …
Machine learning meets process control: Unveiling the potential of LSTMc
N Sitapure, JSI Kwon - AIChE Journal, 2024 - Wiley Online Library
In the past three decades, proportional‐integral/PI‐differential (PI/PID) controllers and model
predictive controller (MPCs) have predominantly governed complex chemical process …
predictive controller (MPCs) have predominantly governed complex chemical process …