A comparative study of software sensors using Multiway Partial Least Squares and Extended Kalman Filters in an application to a fed-batch yeast fermentation process is presented. The MPLS theory is introduced firstly and then applied to a yeast fed-batch fermentation process to provide soft-sensing facilities. The soft-sensing capabilities of the MPLS approach are found to compare favourably with the results using EKF
This paper proposes an adaptive control scheme for a fermentation process. This incorporates identi...
It is acknowledged that to significantly improve biochemical system performance control should be im...
Among the greatest challenges in soft sensor development for bioprocesses are variable process lengt...
Abstract: A comparative study of software sensors using Multiway Partial Least Squares and Extended ...
Least square support vector machine (LS-SVM) is a very powerful tool for pattern recognition and fun...
Software sensors have attracted great research interests due to the problem of lacking suitable and ...
In the manufacture of bio-therapeutics the importance of a well-known process is key for a high prod...
This thesis reports the results of an investigation into the means which can be used to automate the...
Abstract: In order to overcome the difficulties of online measurement of some crucial biochemical va...
This paper presents two adaptive estimators (software based sensors or 'soft-sensors') for inferring...
A feedback optimization scheme for a fed-batch fermentation was developed. Saccharomyces cerevisiae,...
This paper investigates the benefits that the partial least squares (PLS) modelling approach offers ...
Process development and in particular the use of high throughput systems required sampling for contr...
A soft-sensing methodology applicable to batch processes operated under changeable initial condition...
During a fermentation process, variables such as concentrations are determined by off-line laborator...
This paper proposes an adaptive control scheme for a fermentation process. This incorporates identi...
It is acknowledged that to significantly improve biochemical system performance control should be im...
Among the greatest challenges in soft sensor development for bioprocesses are variable process lengt...
Abstract: A comparative study of software sensors using Multiway Partial Least Squares and Extended ...
Least square support vector machine (LS-SVM) is a very powerful tool for pattern recognition and fun...
Software sensors have attracted great research interests due to the problem of lacking suitable and ...
In the manufacture of bio-therapeutics the importance of a well-known process is key for a high prod...
This thesis reports the results of an investigation into the means which can be used to automate the...
Abstract: In order to overcome the difficulties of online measurement of some crucial biochemical va...
This paper presents two adaptive estimators (software based sensors or 'soft-sensors') for inferring...
A feedback optimization scheme for a fed-batch fermentation was developed. Saccharomyces cerevisiae,...
This paper investigates the benefits that the partial least squares (PLS) modelling approach offers ...
Process development and in particular the use of high throughput systems required sampling for contr...
A soft-sensing methodology applicable to batch processes operated under changeable initial condition...
During a fermentation process, variables such as concentrations are determined by off-line laborator...
This paper proposes an adaptive control scheme for a fermentation process. This incorporates identi...
It is acknowledged that to significantly improve biochemical system performance control should be im...
Among the greatest challenges in soft sensor development for bioprocesses are variable process lengt...