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检索条件"机构=for Advanced Methods in Process and System Engineering"
4 条 记 录,以下是1-10 订阅
Model Predictive Control of a Fed-batch Bioreactor Based on Dynamic Metabolic-Genetic Network Models
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IFAC-PapersOnLine 2018年 第19期51卷 34-37页
作者: Jabarivelisdeh, Banafsheh Findeisen, Rolf Waldherr, Steffen for Advanced Methods in Process and System Engineering Magdeburg Germany Institute for Automation Engineering Center for Dynamical Systems Otto-von-Guericke-Universität Magdeburg Germany Department of Chemical Engineering KU Leuven Belgium Belgium
In this work, a model predictive control of a fed-batch bioreactor is presented, described by the dynamic enzyme-cost FBA model (deFBA). The deFBA model is employed within a bilevel optimization to obtain fed-batch op... 详细信息
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Improving Bioprocess Productivity Using Constraint-Based Models in a Dynamic Optimization Scheme
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IFAC-PapersOnLine 2016年 第26期49卷 245-251页
作者: Jabarivelisdeh, Banafsheh Waldherr, Steffen for Advanced Methods in Process and System Engineering Magdeburg Germany Institute for Automation Engineering Center for Dynamical Systems Otto-von-Guericke-Universität Magdeburg Germany Department of Chemical Engineering KU Leuven Belgium School of Engineering and Applied Sciences Harvard University United States
Modulating the expression of target genes is an effective metabolic engineering approach to increase bioprocess productivity. In this work, a bilevel optimization framework is applied for dynamic manipulation of gene ... 详细信息
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Stability preserving model reduction for linearly coupled linear time-invariant systems
Stability preserving model reduction for linearly coupled li...
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Joint 87th Annual Meeting on the International Association of Applied Mathematics and Mechanics, GAMM 2016 and Deutsche Mathematiker‐Vereinigung, DMV 2016
作者: Benner, Peter Grundel, Sara Mlinarić, Petar Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany for Advanced Methods in Process and System Engineering Magdeburg Germany
We develop a stability preserving model reduction method for linearly coupled linear time-invariant (LTI) systems. The method extends the work of Monshizadeh et al. for multi-agent systems with identical LTI agents. T... 详细信息
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Stability preserving model reduction for linearly coupled linear time-invariant systems
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PAMM 2016年 第1期16卷
作者: Peter Benner Sara Grundel Petar Mlinarić Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 39106 Magdeburg Germany International Max Planck Research School (IMPRS) for Advanced Methods in Process and System Engineering Magdeburg Germany
We develop a stability preserving model reduction method for linearly coupled linear time-invariant (LTI) systems. The method extends the work of Monshizadeh et al. for multi-agent systems with identical LTI agen...
来源: 评论