The design and optimization for light-algae bioreactor controller based on Artificial Neural Network-Model Predictive Control
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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.”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [97]
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].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [97]
Cites
Hagan, M., Demuth, H. B., Beale, M. H., & Jes?s, O. D. (2016) · Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia) · Cited by 5,133 · see citing works
A scaled conjugate gradient algorithm for fast supervised learning
Møller, M. F. (1993) · Neural Networks · doi:10.1016/s0893-6080(05)80056-5 · Cited by 4,094 · see citing works
Hagan (2008) · Cited by 657 · see citing works
Soletto, D., Binaghi, L., Lodi, A., Carvalho, J. C. M., & Converti, A. (2005) · Aquaculture · doi:10.1016/j.aquaculture.2004.10.005 · Cited by 256 · see citing works
Handbook of Environmental Data and Ecological Parameters
(1979) · Elsevier eBooks · doi:10.1016/c2013-0-05856-2 · Cited by 213 · see citing works
Cornet, J., Dussap, C., Gros, J.-B., Binois, C., & Lasseur, C. (1995) · Chemical Engineering Science · doi:10.1016/0009-2509(95)00022-w · Cited by 202 · see citing works
Modelling of a microbial fuel cell process
Zhang, X.-C., & Halme, A. J. (1995) · Biotechnology Letters · doi:10.1007/bf00129009 · Cited by 146 · see citing works
Man-Made Closed Ecological Systems
Gitelson, J. I., & Lisovsky, G. M. (2002) · CRC Press eBooks · doi:10.1201/b12582 · Cited by 138 · see citing works
A helical tubular photobioreactor producing Spirulina in a semicontinuous mode
Travieso, L., Hall, D. O., Rao, K. K., Benı́tez, F., Sánchez, E., & Borja, R. (2001) · International Biodeterioration & Biodegradation · doi:10.1016/s0964-8305(01)00043-9 · Cited by 130 · see citing works
Mass balances for a biological life support system simulation model
Volk, T., & Rummel, J. D. (1987) · Advances in Space Research · doi:10.1016/0273-1177(87)90045-7 · Cited by 65 · see citing works
Handbook of environmental data and ecological parameters
Straškraba, M. (1980) · Marine Environmental Research · doi:10.1016/0141-1136(80)90061-6 · Cited by 54 · see citing works
Su, W. (2003) · Journal of Biotechnology · doi:10.1016/s0168-1656(03)00188-3 · Cited by 44 · see citing works
Control of tolerances in turning by predictive control with neural networks
Warnecke, G., & Kluge, R. (1998) · Journal of Intelligent Manufacturing · doi:10.1023/a:1008918606594 · Cited by 26 · see citing works
Sunlight supply and gas exchange systems in microalgal bioreactor
Mori, K., Ohya, H., Matsumoto, K., & Furuune, H. (1987) · Advances in Space Research · doi:10.1016/0273-1177(87)90031-7 · Cited by 21 · see citing works
Mathematical and experimental simulation in aerospace system verification
Алифанов, О. М. (1997) · Acta Astronautica · doi:10.1016/s0094-5765(97)00219-1 · Cited by 17 · see citing works
Microbial functions in space: Mars transit to early planetary base exploration missions
Garland, J. L. (2007) · Acta Astronautica · doi:10.1016/j.actaastro.2006.09.016 · Cited by 14 · see citing works
Potentialities of theoretical and experimental prediction of Life Support Systems reliability
Игоревич, Б. С., & Okhonin, V. A. (1999) · Advances in Space Research · doi:10.1016/s0273-1177(99)00491-3 · Cited by 14 · see citing works
Kirensky, L. V., Gitelson, I. I., Terskov, I. A., Bg, K., Lisovsky, G. M., & Okladnikov, Y. N. (1971) · PubMed · Cited by 13 · see citing works
A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models
Ahmad, Z. A., & Zhang, J. (2006) · Lecture notes in computer science · doi:10.1007/11760023_139 · Cited by 10 · see citing works
An Experimental Study of Model Predictive Control Based on Artificial Neural Networks
Chu, J., Tsai, P.-F., Tsai, W.-Y., et al. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45224-9_175 · Cited by 7 · see citing works
Self-restoration of biocomponents as a mean to enhance biological Life Support Systems reliability
Игоревич, Б. С., & Okhonin, V. A. (1999) · Advances in Space Research · doi:10.1016/s0273-1177(99)00489-5 · Cited by 6 · see citing works
Hi content in cluster and supercluster galaxies
Chincarini, G. L. (1984) · Advances in Space Research · doi:10.1016/0273-1177(84)90121-2 · Cited by 4 · see citing works
Optimum control of closed ecological systems: mathematical aspects.
Si, B. (1999) · PubMed · Cited by 2 · see citing works
Intramuscular calcium movements: Experiments from the Soviet Biosatellite Biocosmos
Goblet, C., Holy, X., & Mounier, Y. (1984) · Advances in Space Research · doi:10.1016/0273-1177(84)90223-0 · Cited by 1 · see citing works
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Oruganti, R. K., Biji, A. P., Lanuyanger, T., Show, P. L., Sriariyanun, M., Upadhyayula, V. K. K., Gadhamshetty, V., & Bhattacharyya, D. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162797 · Cited by 211 · see citing works
Microalgae with Artificial Intelligence: A Digitalized Perspective on Genetics, Systems and Products
Teng, S. Y., Yew, G. Y., Sukačová, K., Show, P. L., Máša, V., & Chang, J.-S. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107631 · Cited by 145 · see citing works
Artificial neural network modeling for predicting the growth of the microalga Karlodinium veneficum
García-Camacho, F., López-Rosales, L., Sánchez-Mirón, A., Belarbi, E. H., Chisti, Y., & Molina-Grima, E. (2016) · Algal Research · doi:10.1016/j.algal.2016.01.002 · Cited by 67 · see citing works
Review of Methods Used for Microalgal Lipid-Content Analysis
Han, Y., Wen, Q., Chen, Z., & Li, P. (2011) · Energy Procedia · doi:10.1016/j.egypro.2011.10.124 · Cited by 65 · see citing works
Podevin, M., Fotidis, I. A., & Angelidaki, I. (2018) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2017.1398132 · Cited by 34 · see citing works
Internet of things (IoT) use for remote monitoring of algal bioreactors
Gotovtsev, P., Sergeeva, Y., Sukhinov, D., Petrova, M., Vishnevskaya, M., Shestakova, A., Rogov, A., Romanov, A., Gorin, K., & Vasilov, R. (2025) · Algal Bioreactors · doi:10.1016/b978-0-443-14058-7.00044-0 · Cited by 4 · see citing works
- 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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