Journal ArticleDOI
Using measurement data in bioprocess modelling and control
Andreas Lübbert,Rimvydas Simutis +1 more
TLDR
This article reviews methods that aim to make better use of empirical data, or of process knowledge derived from such data, in order to develop and improve the models.About:
This article is published in Trends in Biotechnology.The article was published on 1994-08-01. It has received 52 citations till now. The article focuses on the topics: Process modeling & Process (engineering).read more
Citations
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Journal ArticleDOI
High cell-density culture of Escherichia coli
TL;DR: The problems encountered in HCDC of E. coli are reviewed, various solutions are discussed, and feeding strategies for HCDC are described.
Journal ArticleDOI
Progress in monitoring, modeling and control of bioprocesses during the last 20 years.
TL;DR: The paper gives a short report on the state of the art of metabolic flux analysis and metabolic engineering and deals with advanced control of indirectly evaluated process variables by means of state estimation/observer.
Journal ArticleDOI
A review of control strategies for manipulating the feed rate in fed-batch fermentation processes.
TL;DR: This review covers a range of strategies employed to use the feed rate as a manipulated variable in a control strategy, as it is seen that this variable may be used towards many different objectives depending on the process of interest, the characteristics of the strain, or the product being produced, which leads to different drivers for process optimisation.
Journal ArticleDOI
Consistent development of bioprocesses from microliter cultures to the industrial scale
Peter Neubauer,Nicolas Cruz,Florian Glauche,Stefan Junne,Andreas Knepper,Michael Raven,Michael Raven +6 more
TL;DR: The paper reviews the bioprocess developmental phases from a business perspective and the available systems and technologies.
Journal ArticleDOI
Hybrid modelling of biochemical processes: A comparison with the conventional approach
TL;DR: In this article, the authors compared three modeling approaches, viz. the conventional mechanistic approach, formulations based on different artificial neural network (ANN) topologies and a hybrid mechanistic-ANN structure.
References
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Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Book
neural networks and fuzzy systems a dynamical systems approach to machine intelligence
TL;DR: This work combines neural networks and fuzzy systems, presenting neural networks as trainable dynamical systems and developing mechanisms and principles of adaption, self-organization, convergence and global stability.
Journal ArticleDOI
Neural networks for control systems: a survey
TL;DR: In this paper, the authors focus on the promise of artificial neural networks in the realm of modelling, identification and control of nonlinear systems and explore the links between the fields of control science and neural networks.
Journal ArticleDOI
Neural-network-based fuzzy logic control and decision system
Chin-Teng Lin,C.S.G. Lee +1 more
TL;DR: A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed, in the form of feedforward multilayer net, which avoids the rule-matching time of the inference engine in the traditional fuzzy logic system.
Related Papers (5)
Exploratory analysis of bioprocesses using artificial neural network-based methods
Rimvydas Simutis,Andreas Lübbert +1 more