Bioprocess control: current progress and future perspectives

AS Rathore, S Mishra, S Nikita, P Priyanka - Life, 2021 - mdpi.com
Typical bioprocess comprises of different unit operations wherein a near optimal
environment is required for cells to grow, divide, and synthesize the desired product …

A review of control strategies for manipulating the feed rate in fed-batch fermentation processes

L Mears, SM Stocks, G Sin, KV Gernaey - Journal of biotechnology, 2017 - Elsevier
A majority of industrial fermentation processes are operated in fed-batch mode. In this case,
the rate of feed addition to the system is a focus for optimising the process operation, as it …

Mechanistic mathematical models as a basis for digital twins

A Moser, C Appl, S Brüning, VC Hass - Digital Twins: Tools and Concepts …, 2021 - Springer
A future-oriented approach is the application of Digital Twins for process development,
optimization and finally during manufacturing. Digital Twins are detailed virtual …

Temperature control of industrial coke furnace using novel state space model predictive control

R Zhang, A Xue, F Gao - IEEE transactions on industrial …, 2014 - ieeexplore.ieee.org
This paper proposes an enhanced model predictive control (MPC) using a new state space
structure for temperature control of an industrial coke furnace. The advantage of the …

Batch-to-Batch Adaptive Iterative Learning Control─ Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process

N Gupta, R De, H Kodamana, S Bhartiya - ACS omega, 2022 - ACS Publications
To harness energy security and reduce carbon emissions, humankind is trying to switch
toward renewable energy resources. To this extent, fatty acid methyl esters, also known as …

Robust adaptive neural network prescribed performance control for uncertain CSTR system with input nonlinearities and external disturbance

N Zerari, M Chemachema - Neural Computing and Applications, 2020 - Springer
In this paper, the control problem for continuously stirred tank reactor (CSTR) systems with
input nonlinearities and unknown disturbances is addressed. To ensure constraints …

Dynamic neural network predictive compensation-based point-to-point iterative learning control with nonuniform batch length

R Hou, L Jia, X Bu, C Zhou - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
This article discusses the problem of nonuniform running length in incomplete tracking
control, which often occurs in industrial processes due to artificial or environmental changes …

[HTML][HTML] Multivariate statistical process control of an industrial-scale fed-batch simulator

CA Duran-Villalobos, S Goldrick, B Lennox - Computers & Chemical …, 2020 - Elsevier
This article presents an improved batch-to-batch optimisation technique that is shown to be
able to bring the yield closer to its set-point from one batch to the next. In addition, an …

Advanced model predictive feedforward/feedback control of a tablet press

NT Haas, M Ierapetritou, R Singh - Journal of Pharmaceutical Innovation, 2017 - Springer
In continuous pharmaceutical manufacturing, real-time precise control of critical quality
attributes (CQAs) is necessary for quality by design (QbD)-based manufacturing and real …

Model-free output feedback optimal tracking control for two-dimensional batch processes

H Shi, J Ma, Q Liu, J Li, X Jiang, P Li - Engineering Applications of Artificial …, 2025 - Elsevier
To address the challenge of linear quadratic tracking for batch processes without taking into
account the specifics regarding the system dynamics and the state observer, a two …