Cited by 45Advanced Control Systems OptimizationAlgal biology and biofuel productionGreenhouse Technology and Climate Control

The design and optimization for light-algae bioreactor controller based on Artificial Neural Network-Model Predictive Control

Hu, Dawei, Liu, Hong, Yang, Chenliang, Hu, Enzhu·2008·Acta Astronautica

Integrity signals

Registry

Crossref · 10.1016/j.actaastro.2008.02.008

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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  • FTIR has been used to measure or infer critical process parameters (CPPs) and critical quality attributes (CQAs) commonly monitored in microalgae reactions, apart from measuring intracellular components.

    “Furthermore, apart from measuring intracellular components of microalgae, FTIR has been used to measure or infer a number of critical process parameters (CPPs) and critical quality attributes (CQAs) that are commonly monitored in microalgae reactions.”
  • FTIR spectra have been correlated to chemical oxygen demand, total organic carbon, volatile fatty acids, and total and partial alkalinity to some degree.

    “Other attempts have correlated FTIR spectra to chemical oxygen demand, total organic carbon, and volatile fatty acids, and total and partial alkalinity to some degree [97].”

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Authors
Hu, D., Liu, H., Yang, C., & Hu, E.
Affiliations
Beihang University (CN)
Corresponding author
Liu, Hong
Venue
Acta Astronautica
Publisher
Elsevier BV
Published
2008-10
Volume
63
Issue
7-10
Pages
1067-1075
ISSN
0094-5765 (ISSN-L)
OpenAlex
W2156793317
Cited by
45
References
24
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 1
FWCI
4.92
Type
journal article
Language
en
Open access
closed
Locations
Acta Astronautica (publishedVersion)
Funders
Ministry of Science and Technology of the People's Republic of China
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Greenhouse Technology and Climate Control
Keywords
bioregenerative life support, artificial neural networks, model predictive control, Spirulina platensis, microalgae cultivation, light intensity control, feedback control, transient response, CO2 absorption, oxygen production

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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