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Accepted (AM)Open Access (License Unspecified), Open
Conference proceeding
Population regulation in microbial consortia using dual feedback control
2017 IEEE 56th Annual Conference on Decision and Control (CDC), v 2018, pp 5341-5347
Dec 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
An ongoing area of study in synthetic biology has been the design and construction of synthetic circuits that maintain homeostasis at the population level. Here, we are interested in designing a synthetic control circuit that regulates the total cell population and the relative ratio between cell strains in a culture that contains two different cell strains. We have developed a dual feedback control strategy that uses two separate control loops to achieve the two control objectives respectively. We have implemented the strategy in a population regulation circuit where both the total population size and relative cell strain ratio can be set by reference signals. The circuit shows robustness and adaptation to perturbations in cell growth rate and changes in cell numbers. The control architecture is general and could apply to any organism for which synthetic biology tools for quorum sensing, comparison between outputs, and growth control are available.
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Details
- Title
- Population regulation in microbial consortia using dual feedback control
- Creators
- Xinying Ren - California Institute of TechnologyAnia-Ariadna Baetica - California Institute of TechnologyAnandh Swaminathan - California Institute of TechnologyRichard M. Murray - California Institute of Technology
- Publication Details
- 2017 IEEE 56th Annual Conference on Decision and Control (CDC), v 2018, pp 5341-5347
- Conference
- 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 56th (Melbourne, VIC, Australia, 12 Dec 2017–15 Dec 2017)
- Publisher
- IEEE
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000424696905021
- Scopus ID
- 2-s2.0-85046127451
- Other Identifier
- 991021889904904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic