Predicting the performance of soft sensors as a route to low cost automation
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ANN MVPCs have already been used to monitor and control the growth of microalgae through monitoring basic CPPs and glucose concentrations in heterotrophic microalgal growth.
“ANN MVPCs have already been used to monitor and control the growth of microalgae through monitoring basic CPPs [103,104] and glucose concentrations in heterotrophic microalgal growth [105].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [105]
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- Authors
- Goodwin, G. C.
- Affiliations
- University of Newcastle Australia (AU)
- Corresponding author
- Goodwin, Graham C.
- ORCID
- Goodwin, Graham C.
- Venue
- Annual Reviews in Control
- Publisher
- Elsevier BV
- Published
- 2000-01
- Volume
- 24
- Pages
- 55-66
- ISSN
- 1367-5788 (ISSN-L)
- OpenAlex
- W2091390706
- Cited by
- 22
- References
- 30
- Citations by year
- 2023: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2017: 2 · 2015: 1 · 2013: 1 · 2012: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Reviews in Control (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- soft sensors, sensor performance prediction, low-cost automation, process control
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