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Data-driven modeling and optimal control of the production of Fructo-Oligosaccharides by Aureobasidium Pullulans
Journal of Process Control
◽
10.1016/j.jprocont.2019.07.001
◽
2019
◽
Vol 81
◽
pp. 136-149
Author(s):
R. Fekih-Salem
◽
J. Schorsch
◽
L. Dewasme
◽
C. Castro
◽
A.-L. Hantson
◽
...
Keyword(s):
Optimal Control
◽
Aureobasidium Pullulans
◽
Data Driven
◽
Data Driven Modeling
Download Full-text
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2005
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Michel Verhaegen
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pp. 104417
Author(s):
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Faculty Opinions recommendation of Data-driven modeling of sleep EEG and EOG reveals characteristics indicative of pre-Parkinson's and Parkinson's disease.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.718519461.793499389
◽
2014
◽
Author(s):
Mario Manto
◽
Florian Bodranghien
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
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Sleep Eeg
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Data Driven Modeling
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Dynamic-Data Driven Modeling of Uncertainties and 3D Effects of Porous Shape Memory Alloys
10.21236/ada597368
◽
2014
◽
Author(s):
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Keyword(s):
Shape Memory Alloys
◽
Shape Memory
◽
Data Driven
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Dynamic Data
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3D Effects
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Data Driven Modeling
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Are college campuses superspreaders? A data-driven modeling study
Computer Methods in Biomechanics & Biomedical Engineering
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10.1080/10255842.2020.1869221
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2021
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pp. 1-11
Author(s):
Hannah Lu
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Cortney Weintz
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Joseph Pace
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College Campuses
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Data Driven Modeling
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Modeling Study
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Online Output-Feedback Optimal Control of Linear Systems Based on Data-Driven Adaptive Learning
IFAC-PapersOnLine
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Author(s):
Jun Zhao
◽
Jing Na
◽
Guanbin Gao
◽
Shichang Han
◽
Qiang Chen
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...
Keyword(s):
Optimal Control
◽
Linear Systems
◽
Adaptive Learning
◽
Output Feedback
◽
Data Driven
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Control Of Linear Systems
◽
Feedback Optimal Control
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Data-driven dynamic multi-objective optimal control: A Hamiltonian-inequality driven satisficing reinforcement learning approach
IFAC-PapersOnLine
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Author(s):
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◽
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◽
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Keyword(s):
Optimal Control
◽
Reinforcement Learning
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Data Driven
◽
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◽
Multi Objective
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Data-Driven Modeling and Optimization of Building Energy Consumption: a Case Study
2020 IEEE Power & Energy Society General Meeting (PESGM)
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10.1109/pesgm41954.2020.9281663
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2020
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Author(s):
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◽
Yaser P. Fallah
◽
Qun Zhou
◽
P.E. Ian LaHiff
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Building Energy
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Data-driven Sparsity-promoting Optimal Control of Power Buffers in DC Microgrids
IEEE Transactions on Energy Conversion
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10.1109/tec.2020.3043709
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pp. 1-1
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Paolo R. Massenio
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David Naso
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Frank L. Lewis
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Keyword(s):
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Data Enhancement for Data-Driven Modeling in Power Plants Based on a Conditional Variational-Adversarial Generative Network
Industrial & Engineering Chemistry Research
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