A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Optimal control of a nonlinear fed-batch fermentation process using model predictive approach
2009
Journal of Process Control
Preserved Fulltext
This paper discusses model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor. ...
Bioprocesses are involved in producing different pharmaceutical products. Complicated dynamics, nonlinearity and non-stationarity make controlling them a very delicate task. ...
Acknowledgements The authors want to thank the team working on PENSIM in Illinois Institute of Technology for providing the data for this project. The authors also want to especially thank Dr. ...
doi:10.1016/j.jprocont.2009.03.006
fatcat:wqne5yi4cbhsdiwe4lkv5db3ca
Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes
2021
SN Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
At the same time, an adaptive moment estimation (Adam) algorithm is used to optimize the hyper-parameters of the DNN model, which is a technique for efficient stochastic optimization that only requires ...
This method is suitable for large amount of data and it enjoys high efficiency and robustness. ...
soft sensor in penicillin process Variable
Description
u 1
Glucose flow
u 2
Table 2 2 Quality prediction results of penicillin fermentation process X cell concentration, P product concentration ...
doi:10.1007/s42979-020-00440-4
fatcat:mz2llnvlwvc4hfqch3n3burhma
Cultural-Based Genetic Algorithm: Design and Real World Applications
2008
2008 Eighth International Conference on Intelligent Systems Design and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, a novel culture-based GA algorithm is proposed and is tested against multidimensional and highly nonlinear real world applications. ...
class of search methods that has been adopted to efficiently solve dynamic optimization problem. ...
Optimal Control of a Fed-batch fermentor for Penicillin Production A model of a fed-batch fermentor for the production of Penicillin [36] is illustrated in figure 5 . ...
doi:10.1109/isda.2008.312
dblp:conf/isda/El-HosseiniHAA08a
fatcat:io7avha4ybdorntctouufzxdka
Modeling of Fermentation Processes using Online Kernel Learning Algorithm
2008
IFAC Proceedings Volumes
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A novel online identification method is developed for nonlinear multi-input multi-output process modeling issue, which is based on kernel learning framework and named as online kernel learning (OKL) algorithm ...
The OKL algorithm performs first a forward increasing for incorporating a "new" online sample and then a backward decreasing for pruning an "old" one, both in a recursive manner. ...
The updated algorithm of the forward incremental learning stage is efficient. ...
doi:10.3182/20080706-5-kr-1001.01637
fatcat:2ff6xjz6zvb5lc6mficrzaroqe
Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
A penicillin fermentation process is a highly complex and nonlinear dynamic process with batch processing. ...
We consider the problem of fault detection and isolation for the penicillin fermentation process. ...
The penicillin fermentation process is a typical nonlinear dynamic batch process used for penicillin commercial production. ...
doi:10.1109/access.2021.3076783
doaj:a8954eb116664486a7346b04978feb2d
fatcat:77sai7zf5jce7ik5rty343gnea
Biochemical reactor modeling and control
2006
IEEE Control Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
mode, the overarching control objective is to maximize total production of the desired product. ...
An alternative class of fed-batch bioreactor control strategies based on regulating a substrate or product concentration at a predetermined setpoint that maximizes the predicted cellular growth rate is ...
doi:10.1109/mcs.2006.1657876
fatcat:pldvbbu4irhqjepneb3y7iqzny
Optimal adaptive control of fed-batch fermentation processes
1995
Control Engineering Practice
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
To illustrate the method and the results obtained, simulation results are given for the penicillin G fed-batch fermentation process. ...
As an example, the design of a substrate feeding rate controller for a class of biotechnologlcal processes in stirred tank reactors characterized by a decoupling between biomass growth and product formation ...
of a nonlinear adaptive control algorithm. 2. ...
doi:10.1016/0967-0661(95)00077-8
fatcat:xosuxccrfzcrfpd5lucumxcfqy
Optimal Adaptive Control of Fed-Batch Fermentation Processes
[chapter]
1998
Advanced Instrumentation, Data Interpretation, and Control of Biotechnological Processes
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
To illustrate the method and the results obtained, simulation results are given for the penicillin G fed-batch fermentation process. ...
As an example, the design of a substrate feeding rate controller for a class of biotechnologlcal processes in stirred tank reactors characterized by a decoupling between biomass growth and product formation ...
of a nonlinear adaptive control algorithm. 2. ...
doi:10.1007/978-94-015-9111-9_13
fatcat:o2ie25x36vf5jc6ahoahkfofma
Improved Mahalanobis Distance based JITL-LSTM Soft Sensor for Multiphase Batch Processes
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To predict key variables of complicated batch processes, the long short-term memory (LSTM) soft sensor is developed to deal with both data nonlinearity and dynamics. ...
However, the multiphase issue of batch processes are not considered for the conventional JITL-LSTM soft sensor. ...
The error distributions of predictions for the penicillin fermentation process. ...
doi:10.1109/access.2021.3079184
fatcat:gam6ea5rszhlhoraqdpxog2ona
Quality Prediction Model of KICA-JITL-LWPLS Based on Wavelet Kernel Function
2022
Processes
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The method was used to predict the product concentration and bacteriophage concentration during penicillin fermentation through a simulation platform. ...
of a strong time-varying nature, non-Gaussian data distribution and high nonlinearity. ...
process of realizing the prediction, which is more efficient and has better real-time performance. ...
doi:10.3390/pr10081562
fatcat:kwodiey2yvf4biv6qk3ijiizoa
Data-Driven Quality Prediction of Batch Processes Based on Minimal-Redundancy-Maximal-Relevance Integrated Convolutional Neural Network
2021
Mathematical Problems in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
For batch processes that are extensively applied in modern industry and characterized by nonlinearity and dynamics, quality prediction is significant to obtain high-quality products and maintain production ...
In addition, the mechanism-based model for batch processes is usually tough to acquire due to the strong nonlinearity and dynamics, which makes quality prediction a challenge. ...
For such nonlinear dynamic processes, it is quite prominent to ensure highquality products and safely running production process, which makes it necessary to monitor quality variables or key performance ...
doi:10.1155/2021/6842835
fatcat:w4tcepdrxbevres7fcmmm7eqzu
Handling nonlinearities and uncertainties of fed-batch cultivations with difference of convex functions tube MPC
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Bioprocesses are often characterized by nonlinear and uncertain dynamics. This poses particular challenges in the context of model predictive control (MPC). ...
To overcome this problem, we used a neural network with special convex structure to learn the dynamics in DC form and express the uncertainty sets using simplices to maximize the product formation rate ...
for the production of penicillin. ...
arXiv:2312.00847v2
fatcat:7sctkuxnmngmhbdptq5knilg64
Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning
2018
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Soft sensors are vital for online predictions of quality-related yet difficult-to-measure variables in process industry. ...
In this paper, an adaptive soft sensing approach based on selective ensemble learning is proposed for multi-output nonlinear and time-varying industrial processes, which we refer to as the selective ensemble ...
for reducing the amount of offgrade products [42] . ...
doi:10.1109/access.2018.2872752
fatcat:lykprltgobhovaef4prvypv2gi
Modern Soft-Sensing Modeling Methods for Fermentation Processes
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
For effective monitoring and control of the fermentation process, an accurate real-time measurement of important variables is necessary. ...
The optimization techniques used for the estimation of model parameters such as particle swarm optimization algorithm, ant colony optimization, artificial bee colony, cuckoo search algorithm, and genetic ...
First, the expectation-maximization (EM) algorithm can be used for the estimation of probabilistic models parameters. ...
doi:10.3390/s20061771
pmid:32210053
fatcat:cicbldmt7jh3jcsomemjqbhrvi
Modified cultural-based genetic algorithm for process optimization
2011
Ain Shams Engineering Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This method proved to overcome most of these problems and the results showed that the proposed algorithm gives excellent performance for pressure vessel design and fed-batch fermentor problems. ...
In this paper, a hybrid optimization technique; namely culture-based genetic algorithm is proposed and tested against three multidimensional and highly nonlinear real world applications. ...
Acknowledgments We are very grateful to the editor and anonymous reviewers for their valuable comments and suggestions to help improve our paper. ...
doi:10.1016/j.asej.2011.09.002
fatcat:bhzmwb4pyfagxjiodac6pb4ahu
« Previous
Showing results 1 — 15 out of 1,256 results